As COP29 attendees gather in Baku, Azerbaijan, to tackle climate change, the role AI plays in environmental sustainability is front and center.

A panel hosted by Deloitte brought together industry leaders to explore ways to reduce AI’s environmental footprint and align its growth with climate goals.

Experts from Crusoe Energy Systems, EON, the International Energy Agency (IEA) and NVIDIA sat down for a conversation about the energy efficiency of AI.

The Environmental Impact of AI

Deloitte’s recent report, “Powering Artificial Intelligence: A study of AI’s environmental footprint,” shows AI’s potential to drive a climate-neutral economy. The study looks at how organizations can achieve “Green AI” in the coming decades and addresses AI’s energy use.

Deloitte analysis predicts that AI adoption will fuel data center power demand, likely reaching 1,000 terawatt-hours (TWh) by 2030, and potentially climbing to 2,000 TWh by 2050. This will account for 3% of global electricity consumption, indicating faster growth than in other uses like electric cars and green hydrogen production.

While data centers currently consume around 2% of total electricity, and AI is a small fraction of that, the discussion at COP29 emphasized the need to meet rising energy demands with clean energy sources to support global climate goals.

Energy Efficiency From the Ground Up

NVIDIA is prioritizing energy-efficient data center operations with innovations like liquid-cooled GPUs. Direct-to-chip liquid cooling allows data centers to cool systems more effectively than traditional air conditioning, consuming less power and water.

“We see a very rapid trend toward direct-to-chip liquid cooling, which means water demands in data centers are dropping dramatically right now,” said Josh Parker, senior director of legal – corporate sustainability at NVIDIA.

As AI continues to scale, the future of data centers will hinge on designing for energy efficiency from the outset. By prioritizing energy efficiency from the ground up, data centers can meet the growing demands of AI while contributing to a more sustainable future.

Parker emphasized that existing data center infrastructure is becoming dated and less efficient. “The data shows that it’s 10x more efficient to run workloads on accelerated computing platforms than on traditional data center platforms,” he said. “There’s a huge opportunity for us to reduce the energy consumed in existing infrastructures.”

The Path to Green Computing

AI has the potential to play a large role in moving toward climate-neutral economies, according to Deloitte’s study. This approach, often called Green AI, involves reducing the environmental impact of AI throughout the value chain with practices like purchasing renewable energy and improving hardware design.

Until now, Green AI has mostly been led by industry leaders. Take accelerated computing, for instance, which is all about doing more with less. It uses special hardware — like GPUs — to perform tasks faster and with less energy than general-purpose servers that use CPUs, which handle a task at a time.

That’s why accelerated computing is sustainable computing.

“Accelerated computing is actually the most energy-efficient platform that we’ve seen for AI but also for a lot of other computing applications,” said Parker.

“The trend in energy efficiency for accelerated computing over the last several years shows a 100,000x reduction in energy consumption. And just in the past 2 years, we’ve become 25x more efficient for AI inference. That’s a 96% reduction in energy for the same computational workload,” he said.

Reducing Energy Consumption Across Sectors

Innovations like the NVIDIA Blackwell and Hopper architectures significantly improve energy efficiency with each new generation. NVIDIA Blackwell is 25x more energy-efficient for large language models, and the NVIDIA H100 Tensor Core GPU is 20x more efficient than CPUs for complex workloads.

“AI has the potential to make other sectors much more energy efficient,” said Parker. Murex, a financial services firm, achieved a 4x reduction in energy use and 7x faster performance with the NVIDIA Grace Hopper Superchip.

“In manufacturing, we’re seeing around 30% reductions in energy requirements if you use AI to help optimize the manufacturing process through digital twins,” he said.

For example, manufacturing company Wistron improved energy efficiency using digital twins and NVIDIA Omniverse, a platform for developing OpenUSD applications for industrial digitalization and physical AI simulation. The company reduced its electricity consumption by 120,000 kWh and carbon emissions by 60,000 kg annually.

A Tool for Energy Management

Deloitte reports that AI can help optimize resource use and reduce emissions, playing a crucial role in energy management. This means it has the potential to lower the impact of industries beyond its own carbon footprint.

Combined with digital twins, AI is transforming energy management systems by improving the reliability of renewable sources like solar and wind farms. It’s also being used to optimize facility layouts, monitor equipment, stabilize power grids and predict climate patterns, aiding in global efforts to reduce carbon emissions.

COP29 discussions emphasized the importance of powering AI infrastructure with renewables and setting ethical guidelines. By innovating with the environment in mind, industries can use AI to build a more sustainable world.

Watch a replay of the on-demand COP29 panel discussion.

NVIDIA kicked off SC24 in Atlanta with a wave of AI and supercomputing tools set to revolutionize industries like biopharma and climate science.

The announcements, delivered by NVIDIA founder and CEO Jensen Huang and Vice President of Accelerated Computing Ian Buck, are rooted in the company’s deep history in transforming computing.

“Supercomputers are among humanity’s most vital instruments, driving scientific breakthroughs and expanding the frontiers of knowledge,” Huang said. “Twenty-five years after creating the first GPU, we have reinvented computing and sparked a new industrial revolution.”

NVIDIA’s journey in accelerated computing began with CUDA in 2006 and the first GPU for scientific computing, Huang said.

Milestones like Tokyo Tech’s Tsubame supercomputer in 2008, the Oak Ridge National Laboratory’s Titan supercomputer in 2012 and the AI-focused NVIDIA DGX-1 delivered to OpenAI in 2016 highlight NVIDIA’s transformative role in the field.

“Since CUDA’s inception, we’ve driven down the cost of computing by a millionfold,” Huang said. “For some, NVIDIA is a computational microscope, allowing them to see the impossibly small. For others, it’s a telescope exploring the unimaginably distant. And for many, it’s a time machine, letting them do their life’s work within their lifetime.”

At SC24, NVIDIA’s announcements spanned tools for next-generation drug discovery, real-time climate forecasting and quantum simulations.

Central to the company’s advancements are CUDA-X libraries, described by Huang as “the engines of accelerated computing,” which power everything from AI-driven healthcare breakthroughs to quantum circuit simulations.

Huang and Buck highlighted examples of real-world impact, including Nobel Prize-winning breakthroughs in neural networks and protein prediction, powered by NVIDIA technology.

“AI will accelerate scientific discovery, transforming industries and revolutionizing every one of the world’s $100 trillion markets,” Huang said.

CUDA-X Libraries Power New Frontiers

At SC24, NVIDIA announced the new cuPyNumeric library, a GPU-accelerated implementation of NumPy, designed to supercharge applications in data science, machine learning and numerical computing.

With over 400 CUDA-X libraries, including cuDNN for deep learning and cuQuantum for quantum circuit simulations, NVIDIA continues to lead in enhancing computing capabilities across various industries.

Real-Time Digital Twins With Omniverse Blueprint

NVIDIA unveiled the NVIDIA Omniverse Blueprint for real-time computer-aided engineering digital twins, a reference workflow designed to help developers create interactive digital twins for industries like aerospace, automotive, energy and manufacturing.

Built on NVIDIA acceleration libraries, physics-AI frameworks and interactive, physically based rendering, the blueprint accelerates simulations by up to 1,200x, setting a new standard for real-time interactivity.

Early adopters, including Siemens, Altair, Ansys and Cadence, are already using the blueprint to optimize workflows, cut costs and bring products to market faster.

Quantum Leap With CUDA-Q

NVIDIA’s focus on real-time, interactive technologies extends across fields, from engineering to quantum simulations.

In partnership with Google, NVIDIA’s CUDA-Q now powers detailed dynamical simulations of quantum processors, reducing weeks-long calculations to minutes.

Buck explained that with CUDA-Q, developers of all quantum processors can perform larger simulations and explore more scalable qubit designs.

AI Breakthroughs in Drug Discovery and Chemistry

With the open-source release of BioNeMo Framework, NVIDIA is advancing AI-driven drug discovery as researchers gain powerful tools tailored specifically for pharmaceutical applications.

BioNeMo accelerates training by 2x compared to other AI software, enabling faster development of lifesaving therapies.

NVIDIA also unveiled DiffDock 2.0, a breakthrough tool for predicting how drugs bind to target proteins — critical for drug discovery.

Powered by the new cuEquivariance library, DiffDock 2.0 is 6x faster than before, enabling researchers to screen millions of molecules with unprecedented speed and accuracy.

And the NVIDIA ALCHEMI NIM microservice, NVIDIA introduces generative AI to chemistry, allowing researchers to design and evaluate novel materials with incredible speed.

Scientists start by defining the properties they want — like strength, conductivity, low toxicity or even color, Buck explained.

A generative model suggests thousands of potential candidates with the desired properties. Then the ALCHEMI NIM sorts candidate compounds for stability by solving for their lowest energy states using NVIDIA Warp.

This microservice is a game-changer for materials discovery, helping developers tackle challenges in renewable energy and beyond.

These innovations demonstrate how NVIDIA is harnessing AI to drive breakthroughs in science, transforming industries and enabling faster solutions to global challenges.

Earth-2 NIM Microservices: Redefining Climate Forecasts in Real Time

Buck also announced two new microservices — CorrDiff NIM and FourCastNet NIM — to accelerate climate change modeling and simulation results by up to 500x in the NVIDIA Earth-2 platform.

Earth-2, a digital twin for simulating and visualizing weather and climate conditions, is designed to empower weather technology companies with advanced generative AI-driven capabilities.

These tools deliver higher-resolution and more accurate predictions, enabling the forecasting of extreme weather events with unprecedented speed and energy efficiency.

With natural disasters causing $62 billion in insured losses in the first half of this year — 70% higher than the 10-year average — NVIDIA’s innovations address a growing need for precise, real-time climate forecasting. These tools highlight NVIDIA’s commitment to leveraging AI for societal resilience and climate preparedness.

Expanding Production With Foxconn Collaboration

As demand for AI systems like the Blackwell supercomputer grows, NVIDIA is scaling production through new Foxconn facilities in the U.S., Mexico and Taiwan.

Foxconn is building the production and testing facilities using NVIDIA Omniverse to bring up the factories as fast as possible.

Scaling New Heights With Hopper

NVIDIA also announced the general availability of the NVIDIA H200 NVL, a PCIe GPU based on the NVIDIA Hopper architecture optimized for low-power, air-cooled data centers.

The H200 NVL offers up to 1.7x faster large language model inference and 1.3x more performance on HPC applications, making it ideal for flexible data center configurations.

It supports a variety of AI and HPC workloads, enhancing performance while optimizing existing infrastructure.

And the GB200 Grace Blackwell NVL4 Superchip integrates four NVIDIA NVLink-connected Blackwell GPUs unified with two Grace CPUs over NVLink-C2C, Buck said. It provides up to 2x performance for scientific computing, training and inference applications over the prior generation. |

The GB200 NVL4 superchip will be available in the second half of 2025.

The talk wrapped up with an invitation to attendees to visit NVIDIA’s booth at SC24 to interact with various demos, including James, NVIDIA’s digital human, the world’s first real-time interactive wind tunnel and the Earth-2 NIM microservices for climate modeling.

Learn more about how NVIDIA’s innovations are shaping the future of science at SC24.

NVIDIA today at SC24 announced two new NVIDIA NIM microservices that can accelerate climate change modeling simulation results by 500x in NVIDIA Earth-2.

Earth-2 is a digital twin platform for simulating and visualizing weather and climate conditions. The new NIM microservices offer climate technology application providers advanced generative AI-driven capabilities to assist in forecasting extreme weather events.

NVIDIA NIM microservices help accelerate the deployment of foundation models while keeping data secure.

Extreme weather incidents are increasing in frequency, raising concerns over disaster safety and preparedness, and possible financial impacts.

Natural disasters were responsible for roughly $62 billion of insured losses during the first half of this year. That’s about 70% more than the 10-year average, according to a report in Bloomberg.

NVIDIA is releasing the CorrDiff NIM and FourCastNet NIM microservices to help weather technology companies more quickly develop higher-resolution and more accurate predictions. The NIM microservices also deliver leading energy efficiency compared with traditional systems.

New CorrDiff NIM Microservices for Higher-Resolution Modeling

NVIDIA CorrDiff is a generative AI model for kilometer-scale super resolution. Its capability to super-resolve typhoons over Taiwan was recently shown at GTC 2024. CorrDiff was trained on the Weather Research and Forecasting (WRF) model’s numerical simulations to generate weather patterns at 12x higher resolution.

High-resolution forecasts capable of visualizing within the fewest kilometers are essential to meteorologists and industries. The insurance and reinsurance industries rely on detailed weather data for assessing risk profiles. But achieving this level of detail using traditional numerical weather prediction models like WRF or High-Resolution Rapid Refresh is often too costly and time-consuming to be practical.

The CorrDiff NIM microservice is 500x faster and 10,000x more energy-efficient than traditional high-resolution numerical weather prediction using CPUs. Also, CorrDiff is now operating at 300x larger scale. It is super-resolving — or increasing the resolution of lower-resolution images or videos — for the entire United States and predicting precipitation events, including snow, ice and hail, with visibility in the kilometers.

Enabling Large Sets of Forecasts With New FourCastNet NIM Microservice

Not every use case requires high-resolution forecasts. Some applications benefit more from larger sets of forecasts at coarser resolution.

State-of-the-art numerical models like IFS and GFS are limited to 50 and 20 sets of forecasts, respectively, due to computational constraints.

The FourCastNet NIM microservice, available today, offers global, medium-range coarse forecasts. By using the initial assimilated state from operational weather centers such as European Centre for Medium-Range Weather Forecasts or National Oceanic and Atmospheric Administration, providers can generate forecasts for the next two weeks, 5,000x faster than traditional numerical weather models.

This opens new opportunities for climate tech providers to estimate risks related to extreme weather at a different scale, enabling them to predict the likelihood of low-probability events that current computational pipelines overlook.

Learn more about CorrDiff and FourCastNet NIM microservices on ai.nvidia.com.

To meet demand for Blackwell, now in full production, Foxconn, the world’s largest electronics manufacturer, is using NVIDIA Omniverse. The platform for developing industrial AI simulation applications is helping bring facilities in the U.S., Mexico and Taiwan online faster than ever.

Foxconn uses NVIDIA Omniverse to virtually integrate their facility and equipment layouts, NVIDIA Isaac Sim for autonomous robot testing and simulation, and NVIDIA Metropolis for vision AI.

Omniverse enables industrial developers to maximize efficiency through test and optimization in a digital twin before deploying costly change-orders to the physical world. Foxconn expects its Mexico facility alone to deliver significant cost savings and a reduction in kilowatt-hour usage of more than 30% annually.

World’s Largest Electronics Maker Plans With Omniverse and AI

To meet demands at Foxconn, factory planners are building physical AI-powered robotic factories with Omniverse and NVIDIA AI.

The company has built digital twins with Omniverse that allow their teams  to virtually integrate facility and equipment information from leading industry applications, such as Siemens Teamcenter X and Autodesk Revit. Floor plan layouts are optimized first in the digital twin, and planners can locate optimal camera positions that help measure and identify ways to streamline operations with Metropolis visual AI agents.

In the construction process, the Foxconn teams use the Omniverse digital twin as the source of truth to communicate and validate the accurate layout and placement of equipment.

Virtual integration on Omniverse offers significant advantages, potentially saving factory planners millions by reducing costly change orders in real-world operations.

Delivering Robotics for Manufacturing With Omniverse Digital Twin

Once the digital twin of the factory is built, it becomes a virtual gym for Foxconn’s fleets of autonomous robots including industrial manipulators and autonomous mobile robots. Foxconn’s robot developers can simulate, test and validate their AI robot models in NVIDIA Isaac Sim before deploying to their real world robots.

Using Omniverse, Foxconn can simulate robot AIs before deploying to NVIDIA Jetson-driven autonomous mobile robots.

On assembly lines, they can simulate with Isaac Manipulator libraries and AI models for automated optical inspection, object identification, defect detection and trajectory planning.

Omniverse also enables their facility planners to test and optimize intelligent camera placement before installing in the physical world – ensuring they have complete coverage of the factory floor to support worker safety, and provide the foundation for visual AI agent frameworks.

Creating Efficiencies While Building Resilient Supply Chains

Using NVIDIA Omniverse and AI, Foxconn plans to replicate its precision production lines across the world. This will enable it to quickly deploy high-quality production facilities that meet unified standards, increasing the company’s competitive edge and adaptability in the market.

Foxconn’s ability to rapidly replicate will accelerate its global deployments and enhance its resilience in the supply chain in the face of disruptions, as it can quickly adjust production strategies and reallocate resources to ensure continuity and stability to meet changing demands.

Foxconn’s Mexico facility will begin production early next year and the Taiwan location will begin production in December.

Learn more about Blackwell and Omniverse.

Grab a pitchfork and fire up the tractor — the fields of GeForce NOW are about to get a whole lot greener with Farming Simulator 25.

Whether looking for a time-traveling adventure, cozy games or epic action, GeForce NOW has something for everyone with over 2,000 games in its cloud library. Nine titles arrive this week, including the new 4X historical grand strategy game Ara: History Untold from Oxide Games and Xbox Game Studios.

And in this season of giving, GeForce NOW will offer members new rewards and more this month. This week, GeForce NOW is spreading cheer with a new reward for members that’s sure to delight Throne and Liberty fans. Get ready to add a dash of mischief and a sprinkle of wealth to the epic adventures in the sprawling world of this massively multiplayer online role-playing game.

Plus, the NVIDIA app is officially released for download this week. GeForce users can use it to access GeForce NOW to play their games with RTX performance when they’re away from their gaming rigs or don’t want to wait around for their games to update and patch.

A Cloud Gaming Bounty

Get ready to plow the fields and tend to crops anywhere with GeForce NOW.

Farming Simulator 25 from Giants Software launched in the cloud for members to stream, bringing a host of new features and improvements — including the introduction of rice as a crop type, complete with specialized machinery and techniques for planting, flooding fields and harvesting.

This expansion into rice farming is accompanied by a new Asian-themed map that offers players a lush landscape filled with picturesque rice paddies to cultivate. The game will also include two other diverse environments: a spacious North American setting and a scenic Central European location, allowing farmers to build their agricultural empires in varied terrains. Don’t forget about the addition of water buffaloes and goats, as well as the introduction of animal offspring for a new layer of depth to farm management.

Be the cream of the crop streaming with a Performance or Ultimate membership. Performance members get up to 1440p 60 frames per second and Ultimate streams at up to 4K and 120 fps for the most incredible levels of realism and variety. Whether tackling agriculture, forestry and animal husbandry single-handedly or together with friends in cooperative multiplayer mode, experience farming life like never before with GeForce NOW.

Mischief Managed

Whether new to the game or a seasoned adventurer, GeForce NOW members can claim a special PC-exclusive reward to use in Amazon Games’ hit title Throne and Liberty. The reward includes 200 Ornate Coins and a PC-exclusive mischievous youngster named Gneiss Amitoi that will enhance the Throne and Liberty journey as members forge alliances, wage epic battles and uncover hidden treasures.

Ornate Coins allow players to acquire morphs for animal shapeshifting, autonomous pets named Amitois, exclusive cosmetic items, experience boosters and inventory expansions. Gneiss Youngster Amitoi is a toddler-aged prankster that randomly targets players and non-playable characters with its tricks. While some of its mischief can be mean-spirited, it just wants attention, and will pout and roll back to its adventurer’s side if ignored, adding an entertaining dynamic to the journey through the world of Throne and Liberty.

Members who’ve opted in to GeForce NOW’s Rewards program can check their email for instructions on how to redeem the reward. Ultimate and Performance members can start redeeming the reward today, while free members will be able to claim it starting tomorrow, Nov. 15. It’s available through Tuesday, Dec. 10, first come, first served.

Rewriting History

Explore, build, lead and conquer a nation in Ara: History Untold, where every choice will shape the world and define a player’s legacy. It’s now available for GeForce NOW members to stream.

Ara: History Untold offers a fresh take on 4X historical grand strategy games. Players will prove their worth by guiding their citizens through history to the pinnacles of human achievement. Explore new lands, develop arts and culture, and engage in diplomacy — or combat — with other nations, before ultimately claiming the mantle of the greatest nation of all time.

Members can craft their own unique story of triumph and achievement by streaming the game across devices from the cloud. GeForce NOW Performance and Ultimate members can enjoy longer gaming sessions and faster access to servers than free users, perfect for crafting sprawling empires and engaging in complex diplomacy without worrying about local hardware limitations.

New Games Are Knocking

GeForce NOW brings the new Wuthering Waves update “When the Night Knocks” for members this week. Version 1.4 brings a wealth of new content, including two new Resonators, Camellya and Lumi, along with powerful new weapons, including the five-star Red Spring and the four-star event weapon Somnoire Anchor. Dive into the Somnoire Adventure Event, Somnium Labyrinth, and enjoy a variety of log-in rewards, combat challenges and exploration activities. The update also includes Camellya’s companion story, a new Phantom Echo and introduces the exciting Weapon Projection feature.

Members can look for the following games available to stream in the cloud this week:

• Farming Simulator 25 (New release on Steam, Nov. 12)
• Sea Power: Naval Combat in the Missile Age (New release on Steam, Nov. 12)
• Industry Giant 4.0 (New release Steam, Nov. 15)
• Ara: History Untold (Steam and Xbox, available on PC Game Pass)
• Call of Duty: Black Ops Cold War (Steam and Battle.net)
• Call of Duty: Vanguard (Steam and Battle.net)
• Magicraft (Steam)
• Crash Bandicoot N. Sane Trilogy (Steam and Xbox, available on PC Game Pass)
• Spyro Reignited Trilogy (Steam and Xbox, available on PC Game Pass)

What are you planning to play this weekend? Let us know on X or in the comments below.

the last thing your left hand touched is your video game weapon – what was it?

— NVIDIA GeForce NOW (@NVIDIAGFN) November 13, 2024

NVIDIA ranked No. 1 on Forbes magazine’s new list — America’s Best Companies — based on more than 60 measures in nearly a dozen categories that cover financial performance, customer and employee satisfaction, sustainability, remote work policies and more.

Forbes stated that the company thrived in numerous areas, “particularly employee satisfaction, earning high ratings in career opportunities, company benefits and culture,” as well as financial strength.

About 2,000 of the largest public companies in the U.S. were eligible, with 300 making the list.

Beau Davidson, vice president of employee experience at NVIDIA, told Forbes that the company has created systemic opportunities to listen to its staff (such as quarterly surveys, CEO Q&As and a virtual suggestion box) and then takes action on concerns ranging from benefits to cafe snacks.

NVIDIA has also championed Free Days — two days each quarter where the entire company closes. “It allows us to take a break as a company,” Davidson told Forbes. NVIDIA provides counselors onsite and a careers week that provides programs and training for workers to pursue internal job opportunities.

NVIDIA enjoys a low rate of employee turnover — widely viewed as a sign of employee happiness, according to People Data Labs, Forbes’ data provider on workforce stability.

For a full list of rankings, view Forbes’ America’s Best Companies 2025 list.

Check out the NVIDIA Careers page and learn more about NVIDIA Life. 

The next technology revolution is here, and Japan is poised to be a major part of it.

At NVIDIA’s AI Summit Japan on Wednesday, NVIDIA founder and CEO Jensen Huang and SoftBank Group Chairman and CEO Masayoshi Son shared a sweeping vision for Japan’s role in the AI revolution.

Speaking in Tokyo, Huang underscored that AI infrastructure is essential to drive global transformation.

In his talk, he emphasized two types of AI: digital and physical. Digital is represented by AI agents, while physical AI is represented by robotics.

He said Japan is poised to create both types, leveraging its unique language, culture and data.

“Every industry, every company, every country must produce a new industrial revolution,” Huang said, pointing to AI as the catalyst for this shift.

Huang emphasized Japan’s unique position to lead in this AI-driven economy, praising the country’s history of innovation and engineering excellence as well as its technological and cultural panache.

“I can’t imagine a better country to lead the robotics AI revolution than Japan,” Huang said. “You have created some of the world’s best robots. These are the robots we grew up with, the robots we’ve loved our whole lives.”

Huang highlighted the potential of agentic AI—advanced digital agents capable of understanding, reasoning, planning, and taking action—to transform productivity across industries.

He noted that these agents can tackle complex, multi-step tasks, effectively doing “50% of the work for 100% of the people,” turbocharging human productivity.

By turning data into actionable insights, agentic AI offers companies powerful tools to enhance operations without replacing human roles.

SoftBank and NVIDIA to Build Japan’s Largest AI Supercomputer

Among the summit’s major announcements was NVIDIA’s collaboration with SoftBank to build Japan’s most powerful AI supercomputer.

Using the NVIDIA Blackwell platform, SoftBank’s DGX SuperPOD will deliver extensive computing power to drive sovereign AI initiatives, including large language models (LLMs) specifically designed for Japan.

“With your support, we are creating the largest AI data center here in Japan,” said Son, a visionary who, as Huang noted, has been a part of every major technology revolution of the past half-century.

“We should provide this platform to many of those researchers, the students, the startups, so that we can encourage … so that they have a better access [to] much more compute.”

Huang noted that the AI supercomputer project is just one part of the collaboration.

SoftBank also successfully piloted the world’s first combined AI and 5G network, known as AI-RAN (radio access network). The network enables AI and 5G workloads to run simultaneously, opening new revenue possibilities for telecom providers.

“Now with this intelligence network that we densely connect each other, [it will] become one big neural brain for the infrastructure intelligence to Japan,” Son said. “That will be amazing.”

Accelerated Computing and Japan’s AI Infrastructure

Huang emphasized the profound synergy between AI and robotics, highlighting how advancements in artificial intelligence have created new possibilities for robotics across industries.

He noted that as AI enables machines to learn, adapt and perform complex tasks autonomously, robotics is evolving beyond traditional programming.

“I hope that Japan will take advantage of the latest breakthroughs in artificial intelligence and combine that with your world-class expertise in mechatronics,” Huang said. “No country in the world has greater skills in mechatronics than Japan, and this is an extraordinary opportunity to seize.”

NVIDIA aims to develop a national AI infrastructure network through partnerships with Japanese cloud leaders such as GMO Internet Group and SAKURA internet.

Supported by the Japan Ministry of Economy, Trade and Industry, this infrastructure will support sectors like healthcare, automotive and robotics by providing advanced AI resources to companies and research institutions across Japan.

“This is the beginning of a new era… we can’t miss this time,” Huang added.

Read more about all of today’s announcements in the NVIDIA AI Summit Japan online press kit. 

Robots transporting heavy metal at a Toyota plant. Yaskawa’s robots working alongside human coworkers in factories. To advance efforts like these virtually, Rikei Corporation develops digital twin tooling to assist planning.

And if that weren’t enough, diversified retail holdings company Seven & i Holdings is running digital twin simulations to enhance customer experiences.

Physical AI and industrial AI, powered by NVIDIA Omniverse and Isaac and Metropolis, are propelling Japan’s industrial giants into the future. Such pioneering moves in robotic manipulation, industrial inspection and digital twins for human assistance are on full display at NVIDIA AI Summit Japan this week.

The arrival of generative AI-driven robotics leaps couldn’t come at a better time. With its population in decline, Japan has a critical need for advanced robotics. A report in the Japan Times said the nation is expected to face an 11 million shortage of workers by 2040.

Industrial and physical AI-based systems are today becoming accelerated by a three computer solution that enables robot AI model training, testing, and simulation and deployment.

Looking Into the Future With Toyota Robotics

Toyota is tapping into NVIDIA Omniverse for physics simulation for robot motion and gripping to improve its metal forging capabilities. That’s helping to reduce the time it takes to teach robots to transport forging materials.

Toyota is verifying to reproduce its robotic work handling and robot motion with the accuracy of NVIDIA PhysX with Omniverse. Omniverse enables modeling digital twins of factories and other environments that accurately duplicate the physical characteristics of objects and systems in the real world, which is foundational to building physical AI for driving next-generation autonomous systems.

Omniverse enables Toyota to model things like mass properties, gravity and friction for comparing results with physical representations of tests. This can help work in manipulation and robot motion.

It also allows Toyota to replicate the expertise of its senior employees with robotics for issues requiring a high degree of skills. And it increases safety and throughput since factory personnel are not required to work in the high temperatures and harsh environments associated with metal-forging production lines.

Driving Automation, Yaskawa Harnesses NVIDIA Isaac 

Yaskawa is a leading global robotics manufacturer that has shipped more than 600,000 robots and offers nearly 200 robot models, including industrial robots for the automotive industry, collaborative robots and dual-arm robots.

The Japanese robotics leader is expanding into new markets with its MOTOMAN NEXT adaptive robot, which is moving into task adaptation, versatility and flexibility. Driven by advanced robotics enabled by the NVIDIA Isaac and Omniverse platforms, Yaskawa’s adaptive robots are focused on delivering automation for the food, logistics, medical and agriculture industries.

Using NVIDIA Isaac Manipulator, a reference workflow of NVIDIA-accelerated libraries and AI models, Yaskawa is integrating AI to its industrial arm robots, giving them the ability to complete a wide range of industrial automation tasks.  

Yaskawa is using FoundationPose for precise 6D pose estimation and tracking. These AI models enhance the adaptability and efficiency of Yaskawa’s robotic arms, and the motion control enables sim-to-real transition, making them versatile and effective at performing complex tasks across a wide range of industries.

Additionally, Yaskawa is embracing digital twin and robotics simulations powered by NVIDIA Isaac Sim, built on Omniverse, to accelerate the development and deployment of Yaskawa’s robotic solutions, saving time and resources.

Creating Customer Experiences at Seven & i Holdings With Omniverse, Metropolis

Seven & i Holdings is one of the largest Japanese  diversified retail holdings companies. The Japanese retail company runs a proof of concept to understand customer behaviors at its retail outlets with digital simulation.

Seven & i Holdings is pushing its research activities by tapping into NVIDIA Omniverse and NVIDIA Metropolis to better understand operations across its retail stores. Using NVIDIA Metropolis, a set of developer tools for building vision AI applications, store operations are analyzed with computer vision models, helping improve efficiency and safety. A digital twin of this environment is developed in an Omniverse-based application, along with assets from Blender and animations from SideFX Houdini.

Combining digital twins with price recognition, object tracking and other AI-based computation enables it to generate useful behavioral insights about retail environments and customer interactions. Such information offers opportunities to dynamically generate and show personalized ads on digital signage displays targeted to customers.

The retailer plans to use Metropolis and the NVIDIA Merlin recommendation engine framework to create tailored suggestions to individual shoppers, responding to customer interests — based on data — like never before.

Virtually Revolutionizing, Rikei Corporation Launches Asset Library for Digital Twins

Rikei Corporation, a systems solutions provider, specializes in spatial computing and extended reality technology for the manufacturing sector.

The technology company has developed JAPAN USD Factory, which is a digital twin asset library specifically for the Japanese manufacturing industry. Developed on NVIDIA Omniverse, JAPAN USD Factory reproduces materials and equipment commonly used in manufacturing sites across Japan in a digital form so that Japanese manufacturers can more easily build digital twins of their factories and warehouses.

Rikei Corporation aims to streamline various stages of design, simulation and operations for the manufacturing process with these digital assets to enhance productivity with digital twins.

Developed with OpenUSD, a universal 3D asset interchange, JAPAN USD Factory allows developers to access its asset libraries for things like palettes and racks, offering seamless integration across tools and workflows.

To learn more, watch the NVIDIA AI Summit Japan fireside chat with NVIDIA founder and CEO Jensen Huang.

NVIDIA founder and CEO Jensen Huang will join SoftBank Group Chairman and CEO Masayoshi Son in a fireside chat at NVIDIA AI Summit Japan to discuss the transformative role of AI and more.

Taking place on Nov. 12-13, the invite-only event at The Prince Park Tower in Tokyo’s Minato district will gather industry leaders to explore advancements in generative AI, robotics and industrial digitalization.

Tickets for the event are sold out, but tune in via livestream or watch on-demand sessions.

Over 50 sessions and live demos will showcase innovations from NVIDIA and its partners, covering everything from large language models, known as LLMs, to AI-powered robotics and digital twins.

Huang and Son will discuss AI’s transformative role and efforts driving the AI field.

Son has invested in companies around the world that show potential for AI-driven growth through SoftBank Vision Funds. Huang has steered NVIDIA’s rise to a global leader in AI and accelerated computing.

One major topic: Japan’s AI infrastructure initiative, supported by NVIDIA and local firms. This investment is central to the country’s AI ambitions.

Leaders from METI and experts like Shunsuke Aoki from Turing Inc. will dig into how sovereign AI fosters innovation and strengthens Japan’s technological independence.

On Wednesday, Nov. 13, two key sessions will offer deeper insights into Japan’s AI journey:

• The Present and Future of Generative AI in Japan: Professor Yutaka Matsuo of the University of Tokyo will explore the advances of generative AI and its impact on policy and business strategy. Expect discussions on the opportunities and challenges Japan faces as it pushes forward with AI innovations.
• Sovereign AI and Its Role in Japan’s Future: A panel of four experts will dive into the concept of sovereign AI. Speakers like Takuya Watanabe of METI and Hironobu Tamba of SoftBank will discuss how sovereign AI can accelerate business strategies and strengthen Japan’s technological independence.

These sessions highlight how Japan is positioning itself at the forefront of AI development. Practical insights into the next wave of AI innovation and policy are on the agenda.

Experts from Sakana AI, Sony, Tokyo Science University and Yaskawa Electric will be among those presenting breakthroughs across sectors like healthcare, robotics and data centers.

The summit will also feature hands-on workshops, including a full-day session on Tuesday, Nov. 12, titled “Building RAG Agents With LLM.”

Led by NVIDIA experts, this workshop will offer practical experience in developing retrieval-augmented generation, or RAG, agents using large-scale language models.

With its mix of forward-looking discussions and real-world applications, the NVIDIA AI Summit Tokyo will highlight Japan’s ongoing advancements in AI and its contributions to the global AI landscape.

Tune in to the fireside chat between Son and Huang via livestream or watch on-demand sessions.

At the Conference for Robot Learning (CoRL) in Munich, Germany, Hugging Face and NVIDIA announced a collaboration to accelerate robotics research and development by bringing together their open-source robotics communities.

Hugging Face’s LeRobot open AI platform combined with NVIDIA AI, Omniverse and Isaac robotics technology will enable researchers and developers to drive advances across a wide range of industries, including manufacturing, healthcare and logistics.

Open-Source Robotics for the Era of Physical AI

The era of physical AI — robots understanding physical properties of environments — is here, and it’s rapidly transforming the world’s industries.

To drive and sustain this rapid innovation, robotics researchers and developers need access to open-source, extensible frameworks that span the development process of robot training, simulation and inference. With models, datasets and workflows released under shared frameworks, the latest advances are readily available for use without the need to recreate code.

Hugging Face’s leading open AI platform serves more than 5 million machine learning researchers and developers, offering tools and resources to streamline AI development. Hugging Face users can access and fine-tune the latest pretrained models and build AI pipelines on common APIs with over 1.5 million models, datasets and applications freely accessible on the Hugging Face Hub.

LeRobot, developed by Hugging Face, extends the successful paradigms from its  Transformers and Diffusers libraries into the robotics domain. LeRobot offers a comprehensive suite of tools for sharing data collection, model training and simulation environments along with designs for low-cost manipulator kits.

NVIDIA’s AI technology, simulation and open-source robot learning modular framework such as NVIDIA Isaac Lab can accelerate the LeRobot’s data collection, training and verification workflow. Researchers and developers can share their models and datasets built with LeRobot and Isaac Lab, creating a data flywheel for the robotics community.

Scaling Robot Development With Simulation

Developing physical AI is challenging. Unlike language models that use extensive internet text data, physics-based robotics relies on physical interaction data along with vision sensors, which is harder to gather at scale. Collecting real-world robot data for dexterous manipulation across a large number of tasks and environments is time-consuming and labor-intensive.

Making this easier, Isaac Lab, built on NVIDIA Isaac Sim, enables robot training by demonstration or trial-and-error in simulation using  high-fidelity rendering and physics simulation to create realistic synthetic environments and data. By combining GPU-accelerated physics simulations and parallel environment execution, Isaac Lab provides the ability to generate vast amounts of training data — equivalent to thousands of real-world experiences — from a single demonstration.

Generated motion data is then used to train a policy with imitation learning. After successful training and validation in simulation, the policies are deployed on a real robot, where they are further tested and tuned to achieve optimal performance.

This iterative process leverages real-world data’s accuracy and the scalability of simulated synthetic data, ensuring robust and reliable robotic systems.

By sharing these datasets, policies and models on Hugging Face, a robot data flywheel is created that enables developers and researchers to build upon each other’s work, accelerating progress in the field.

“The robotics community thrives when we build together,” said Animesh Garg, assistant professor at Georgia Tech. “By embracing open-source frameworks such as Hugging Face’s LeRobot and NVIDIA Isaac Lab, we accelerate the pace of research and innovation in AI-powered robotics.”

Fostering Collaboration and Community Engagement

The planned collaborative workflow involves collecting data through teleoperation and simulation in Isaac Lab, storing it in the standard LeRobotDataset format. Data generated using GR00T-Mimic, will then be used to train a robot policy with imitation learning, which is subsequently evaluated in simulation. Finally, the validated policy is deployed on real-world robots with NVIDIA Jetson for real-time inference.

The initial steps in this collaboration have already been taken, having shown a physical picking setup with LeRobot software running on NVIDIA Jetson Orin Nano, providing a powerful, compact compute platform for deployment.

“Combining Hugging Face open-source community with NVIDIA’s hardware and Isaac Lab simulation has the potential to accelerate innovation in AI for robotics,” said Remi Cadene, principal research scientist at LeRobot.

This work builds on NVIDIA’s community contributions in generative AI at the edge, supporting the latest open models and libraries, such as Hugging Face Transformers, optimizing inference for large language models (LLMs), small language models (SLMs) and multimodal vision-language models (VLMs), along with VLM’s action-based variants of  vision language action models (VLAs), diffusion policies and speech models — all with strong, community-driven support.

Together, Hugging Face and NVIDIA aim to accelerate the work of the global ecosystem of robotics researchers and developers transforming industries ranging from transportation to manufacturing and logistics.

Learn about NVIDIA’s robotics research papers at CoRL, including VLM integration for better environmental understanding, temporal navigation and long-horizon planning. Check out workshops at CoRL with NVIDIA researchers.

Artificial intelligence will be the driving force behind India’s digital transformation, fueling innovation, economic growth, and global leadership, NVIDIA founder and CEO Jensen Huang said Thursday at NVIDIA’s AI Summit in Mumbai.

Addressing a crowd of entrepreneurs, developers, academics and business leaders, Huang positioned AI as the cornerstone of the country’s future.

India has an “amazing natural resource” in its IT and computer science expertise, Huang said, noting the vast potential waiting to be unlocked.

To capitalize on this country’s talent and India’s immense data resources, the country’s leading cloud infrastructure providers are rapidly accelerating their data center capacity. NVIDIA is playing a key role, with NVIDIA GPU deployments expected to grow nearly 10x by year’s end, creating the backbone for an AI-driven economy.

Together with NVIDIA, these companies are at the cutting edge of a shift Huang compared to the seismic change in computing introduced by IBM’s System 360 in 1964, calling it the most profound platform shift since then.

“This industry, the computing industry, is going to become the intelligence industry,” Huang said, pointing to India’s unique strengths to lead this industry,  thanks to its enormous amounts of data and large population.

With this rapid expansion in infrastructure, AI factories will play a critical role in India’s future, serving as the backbone of the nation’s AI-driven growth.

“It makes complete sense that India should manufacture its own AI,” Huang said. “You should not export data to import intelligence,” he added, noting the importance of India building its own AI infrastructure.

Huang identified three areas where AI will transform industries: sovereign AI, where nations use their own data to drive innovation; agentic AI, which automates knowledge-based work; and physical AI, which applies AI to industrial tasks through robotics and autonomous systems. India, Huang noted, is uniquely positioned to lead in all three areas.

India’s startups are already harnessing NVIDIA technology to drive innovation across industries and are positioning themselves as global players, bringing the country’s AI solutions to the world.

Meanwhile, India’s robotics ecosystem is adopting NVIDIA Isaac and Omniverse to power the next generation of physical AI, revolutionizing industries like manufacturing and logistics with advanced automation.

Huang’s also keynote featured a surprise appearance by actor and producer Akshay Kumar.

Following Huang’s remarks, the focus shifted to a fireside chat between Huang and Reliance Industries Chairman Mukesh Ambani, where the two leaders explored how AI will shape the future of Indian industries, particularly in sectors like energy, telecommunications and manufacturing.

Ambani emphasized that AI is central to this continued growth. Reliance, in partnership with NVIDIA, is building AI factories to automate industrial tasks and transform processes in sectors like energy and manufacturing.

Both men discussed their companies’ joint efforts to pioneer AI infrastructure in India.

Ambani underscored the role of AI in public sector services, explaining how India’s data combined with AI is already transforming governance and service delivery.

Huang added that AI promises to democratize technology.

“The ability to program AI is something that everyone can do … if AI could be put into the hands of every citizen, it would elevate and put into the hands of everyone this incredible capability,” he said.

Huang emphasized NVIDIA’s role in preparing India’s workforce for an AI-driven future.

NVIDIA is partnering with India’s IT giants such as Infosys, TCS, Tech Mahindra and Wipro to upskill nearly half a million developers, ensuring India leads the AI revolution with a highly trained workforce.

“India’s technical talent is unmatched,” Huang said.

Ambani echoed these sentiments, stressing that “India will be one of the biggest intelligence markets,” pointing to the nation’s youthful, technically talented population.

A Vision for India’s AI-Driven Future

As the session drew to a close, Huang and Ambani reflected on their vision for India’s AI-driven future.

With its vast talent pool, burgeoning tech ecosystem and immense data resources, the country, they agreed, has the potential to contribute globally in sectors such as energy, healthcare, finance and manufacturing.

“This cannot be done by any one company, any one individual, but we all have to work together to bring this intelligence age safely to the world so that we can create a more equal world, a more prosperous world,” Ambani said.

Huang echoed the sentiment, adding: “Let’s make it a promise today that we will work together so that India can take advantage of the intelligence revolution that’s ahead of us.”

The NVIDIA AI Summit India, taking place Oct. 23–25 at the Jio World Convention Centre in Mumbai, will bring together the brightest minds to explore how India is tackling the world’s grand challenges.

A major highlight: a fireside chat with NVIDIA founder and CEO Jensen Huang on October 24. He’ll share his insights on AI’s pivotal role in reshaping industries and how India is emerging as a global AI leader, and be joined by the chairman and managing director of Reliance Industries, Mukesh Ambani.

Passes for the event are sold out. But don’t worry — audiences can tune in via livestream or watch on-demand sessions at NVIDIA AI Summit.

With over 50 sessions, live demos and hands-on workshops, the event will showcase AI’s transformative impact across industries like robotics, supercomputing and industrial digitalization.

It will explore opportunities both globally and locally in India. Over 70% of the use cases discussed will focus on how AI can address India’s most pressing challenges.

India’s AI Journey

India’s rise to become a global AI leader is powered by its focus on building AI infrastructure and foundational models.

NVIDIA’s accelerated computing platform, now 100,000x more energy-efficient for processing large language models than a decade ago, is driving this progress.

If car efficiency had improved at the same rate, vehicles today would get 280,000 miles per gallon — enough to drive to the moon with a single gallon of gas.

As India solidifies its place in AI leadership, the summit will tackle key topics.

These include building AI infrastructure with NVIDIA’s advanced GPUs, harnessing foundational models for Indian languages, fueling innovation in India’s startup ecosystem and upskilling developers to take the country’s workforce to the AI front office. The momentum is undeniable.

India’s AI Summit: Driving Innovation, Solving Grand Challenges

NVIDIA is at the heart of India’s rise as an AI powerhouse.

With six locations across the country hosting over 4,000 employees, NVIDIA plays a central role in the country’s rapid progress in AI.

The company works with enterprises, cloud providers and startups to build AI infrastructure powered by NVIDIA’s accelerated computing stack comprising tens of thousands of its most advanced GPUs, high-performance networking, and AI software platforms and tools.

The summit will feature sessions on how this infrastructure empowers sectors like healthcare, agriculture, education and manufacturing.

Jensen Huang’s Fireside Chat

The fireside chat with Huang on October 24 is a must-watch.

He’ll discuss how AI is revolutionizing industries worldwide and India’s increasingly important role as a global AI leader.

To hear his thoughts firsthand, tune in to the livestream or catch the session on demand for insights from one of the most influential figures in AI.

Key Sessions and Speakers

Top industry experts like Niki Parmar (Essential AI), Deepu Talla (NVIDIA) and Abhinav Aggarwal (Fluid AI) will dive into a range of game-changing topics, including:

• Generative AI and large language models (LLMs): Discover innovations in video synthesis and high-quality data models for large-scale inference.
• Robotics and industrial efficiency: See how AI-powered robotics tackle automation challenges in manufacturing and warehouse operations.
• AI in healthcare: Learn how AI transforms diagnostics and treatments, improving outcomes across India’s healthcare system.

These sessions will also introduce cutting-edge NVIDIA AI networking technologies, essential for building next-gen AI data centers.

Workshops and Startup Innovation

India’s vibrant startup ecosystem will be in the spotlight at the summit.

Nearly 2,000 companies in India are part of NVIDIA Inception, a program that supports startups driving innovation in AI and other fields.

Onsite workshops at the AI Summit will offer hands-on experiences with NVIDIA’s advanced AI tools, giving developers and startups practical skills to push the boundaries of innovation.

Meanwhile, Reverse VC Pitches will provide startups with unique insights as venture capital firms pitch their visions for the future, sparking fresh ideas and collaborations.

Industrial AI and Manufacturing Innovation

NVIDIA is also backing India’s industrial expansion by deploying AI technologies like Omniverse and Isaac.

These tools are enhancing everything from factory planning to manufacturing and construction, helping build greenfield factories that are more efficient and sustainable.

These technologies integrate advanced AI capabilities into factory operations, cutting costs while boosting sustainability.

Through hands-on workshops and deep industry insights, participants will see how India is positioning itself to lead the world in AI innovation.

Join the livestream or explore sessions on demand at NVIDIA AI Summit.

Moving to accelerate enterprise AI innovation, NVIDIA founder and CEO Jensen Huang joined Lenovo CEO Yuanqing Yang on stage Tuesday during the keynote at Lenovo Tech World 2024.

Together, they introduced the Lenovo Hybrid AI Advantage with NVIDIA, a full-stack platform for building and deploying AI capabilities across the enterprise that drive speed, innovation and productivity.

“We would like to achieve essentially superhuman productivity,” Huang told a crowd gathered in-person and online for Lenovo’s Seattle event. “And these AI agents are helping employees across industries to be more efficient and productive.”

They also unveiled a new high-performance AI server featuring Lenovo’s Neptune liquid-cooling technology and NVIDIA Blackwell, marking a leap forward in sustainability and energy efficiency for AI systems.

“This is going to be the largest of industrial revolutions we’ve ever seen,” Huang noted, highlighting the profound impact AI is having on industries worldwide. “And we’re seeing, in the last 12 months or so, just an extraordinary awakening in every single industry, every single company, every single country.”

Lenovo Unveils Hybrid AI Advantage With NVIDIA

The Lenovo Hybrid AI Advantage with NVIDIA is built on Lenovo’s services and infrastructure capabilities with NVIDIA AI software and accelerated computing. It enables organizations to create agentic AI and physical AI that transform data into actionable business outcomes more efficiently.

“Our strategy is to combine modularization with customization so that we can respond quickly to customer needs while tailoring our solutions for them,” Yang said.

Introducing Lenovo AI Fast Start and Hybrid AI Solutions

As part of the Lenovo Hybrid AI Advantage, Lenovo has introduced Lenovo AI Fast Start, a service designed to help organizations rapidly build generative AI solutions.

Leveraging the NVIDIA AI Enterprise software platform, which includes NVIDIA NIM microservices and NVIDIA NeMo for building AI agents, Lenovo AI Fast Start enables customers to prove the business value of AI use cases across personal, enterprise, and public AI platforms within weeks.

By giving organizations access to AI assets, experts, and partners, the service helps tailor solutions to meet the needs of each business, speeding up deployment at scale.This platform also includes the Lenovo AI Service Library and uses NVIDIA AI Enterprise software, including NVIDIA NIM, NVIDIA NeMo and NVIDIA NIM Agent Blueprints for agentic AI, as well as support for NVIDIA Omniverse for physical AI.

The AI Service Library offers a collection of preconfigured AI solutions that can be customized for different needs.

When these offerings are combined with NIM Agent Blueprints, businesses can rapidly develop and deploy AI agents tailored to their specific needs, accelerating AI adoption across industries.

With the addition of NeMo for large language model optimization and Omniverse for digital twin simulations, enterprises can use cutting-edge AI technologies for both agentic and physical AI applications.

Energy Efficiency and AI Infrastructure

Yang and Huang emphasized the critical need for energy-efficient AI infrastructure.

“Speed is sustainability. Speed is performance. Speed is energy efficiency,” Huang said, stressing how performance improvements directly contribute to reducing energy consumption and increasing efficiency.

“Lenovo’s 6th Generation Neptune Liquid Cooling solution supports AI computing and high-performance computing while delivering better energy efficiency,” Yang said.

By reducing data center power consumption by up to 40%, Neptune allows businesses to efficiently run accelerated AI workloads while lowering operational costs and environmental impact.

In line with this, Lenovo’s TruScale infrastructure services offer a scalable cloud-based model that gives organizations access to AI computing power without the need for large upfront investments in physical infrastructure, ensuring businesses can scale deployments as needed.

Introducing Lenovo ThinkSystem SC777 V4 Neptune With NVIDIA Blackwell

The CEOs revealed the ThinkSystem SC777 V4 Neptune server, featuring NVIDIA GB200 Grace Blackwell.

This 100% liquid-cooled system requires no fans or specialized data center air conditioning. It fits into a standard rack and runs on standard power.

“To an engineer, this is sexy,” Huang said, referring to the ThinkSystem SC777 V4 Neptune server he and Yang had just unveiled.

The SC777 includes next-gen NVIDIA NVLink interconnect, supporting NVIDIA Quantum-2 InfiniBand or Spectrum-X Ethernet networking. It also supports NVIDIA AI Enterprise software with NIM microservices.

“Our partnership spans from infrastructure to software and to service level,” Yang said. “Together, we deploy enterprise AI agents to our customers.”

In 1999, fans lined up at Blockbuster to rent chunky VHS tapes of The Matrix. Y2K preppers hoarded cash and canned Spam, fearing a worldwide computer crash. Teens gleefully downloaded Britney Spears and Eminem on Napster.

But amid the caffeinated fizz of turn-of-the-millennium tech culture, something more transformative was unfolding.

The release of NVIDIA’s GeForce 256 twenty-five years ago today, overlooked by all but hardcore PC gamers and tech enthusiasts at the time, would go on to lay the foundation for today’s generative AI.

The GeForce 256 wasn’t just another graphics card — it was introduced as the world’s first GPU, setting the stage for future advancements in both gaming and computing.

With hardware transform and lighting (T&L), it took the load off the CPU, a pivotal advancement. As Tom’s Hardware emphasized: “[The GeForce 256] can take the strain off the CPU, keep the 3D-pipeline from stalling, and allow game developers to use much more polygons, which automatically results in greatly increased detail.”

Where Gaming Changed Forever

For gamers, starting up Quake III Arena on a GeForce 256 was a revelation. “Immediately after firing up your favorite game, it feels like you’ve never even seen the title before this moment,” as the enthusiasts at AnandTech put it,

The GeForce 256 paired beautifully with breakthrough titles such Unreal Tournament, one of the first games with realistic reflections, which would go on to sell more than 1 million copies in its first year.

Over the next quarter-century, the collaboration between game developers and NVIDIA would continue to push boundaries, driving advancements such as increasingly realistic textures, dynamic lighting, and smoother frame rates — innovations that delivered far more than just immersive experiences for gamers.

NVIDIA’s GPUs evolved into a platform that transformed new silicon and software into powerful, visceral innovations that reshaped the gaming landscape.

In the decades to come, NVIDIA GPUs drove ever higher frame rates and visual fidelity, allowing for smoother, more responsive gameplay.

This leap in performance was embraced by platforms such as Twitch, YouTube Gaming, and Facebook, as gamers were able to stream content with incredible clarity and speed.

These performance boosts not only transformed the gaming experience but also turned players into entertainers. This helped fuel the global growth of esports.

Major events like The International (Dota 2), the League of Legends World Championship, and the Fortnite World Cup attracted millions of viewers, solidifying esports as a global phenomenon and creating new opportunities for competitive gaming.

From Gaming to AI: The GPU’s Next Frontier

As gaming worlds grew in complexity, so too did the computational demands.

The parallel power that transformed gaming graphics caught the attention of researchers, who realized these GPUs could also unlock massive computational potential in AI, enabling breakthroughs far beyond the gaming world.

Deep learning — a software model that relies on billions of neurons and trillions of connections — requires immense computational power.

Traditional CPUs, designed for sequential tasks, couldn’t efficiently handle this workload. But GPUs, with their massively parallel architecture, were perfect for the job.

By 2011, AI researchers had discovered NVIDIA GPUs and their ability to handle deep learning’s immense processing needs.

Researchers at Google, Stanford and New York University began using NVIDIA GPUs to accelerate AI development, achieving performance that previously required supercomputers.

In 2012, a breakthrough came when Alex Krizhevsky from the University of Toronto used NVIDIA GPUs to win the ImageNet image recognition competition. His neural network, AlexNet, trained on a million images, crushed the competition, beating handcrafted software written by vision experts.

This marked a seismic shift in technology. What once seemed like science fiction — computers learning and adapting from vast amounts of data — was now a reality, driven by the raw power of GPUs.

By 2015, AI had reached superhuman levels of perception, with Google, Microsoft and Baidu surpassing human performance in tasks like image recognition and speech understanding — all powered by deep neural networks running on GPUs.

In 2016, NVIDIA CEO Jensen Huang donated the first NVIDIA DGX-1 AI supercomputer — a system packed with eight cutting-edge GPUs — to OpenAI, which would harness GPUs to train ChatGPT, launched in November 2022.

In 2018, NVIDIA debuted GeForce RTX (20 Series) with RT Cores and Tensor Cores, designed specifically for real-time ray tracing and AI workloads.

This innovation accelerated the adoption of ray-traced graphics in games, bringing cinematic realism to gaming visuals and AI-powered features like NVIDIA DLSS, which enhanced gaming performance by leveraging deep learning.

Meanwhile, ChatGPT, launched in 2022, would go on to reach more than 100 million users within months of its launch, demonstrating how NVIDIA GPUs continue to drive the transformative power of generative AI.

Today, GPUs aren’t only celebrated in the gaming world — they’ve become icons of tech culture, appearing in Reddit memes, Twitch streams, T-shirts at Comic-Con and even being immortalized in custom PC builds and digital fan art.

Shaping the Future

This revolution that began with the GeForce 256 continues to unfold today in gaming and entertainment, in personal computing where AI powered by NVIDIA GPUs is now part of everyday life — and inside the trillion-dollar industries building next-generation AI into the core of their businesses.

GPUs are not just enhancing gaming but are designing the future of AI itself.

And now, with innovations like NVIDIA DLSS, which uses AI to boost gaming performance and deliver sharper images, and NVIDIA ACE, designed to bring more lifelike interactions to in-game characters, AI is once again reshaping the gaming world.

The GeForce 256 laid the bedrock for a future where gaming, computing, and AI are not just evolving — together, they’re transforming the world.

AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit, in Washington, D.C.

Granholm went on to highlight the pivotal role AI is playing in tackling major national challenges, from energy innovation to bolstering national security.

“We need to use AI for both offense and defense — offense to solve these big problems and defense to make sure the bad guys are not using AI for nefarious purposes,” she said.

Granholm, who calls the Department of Energy “America’s Solutions Department,” highlighted the agency’s focus on solving the world’s biggest problems.

“Yes, climate change, obviously, but a whole slew of other problems, too … quantum computing and all sorts of next-generation technologies,” she said, pointing out that AI is a driving force behind many of these advances.

“AI can really help to solve some of those huge problems — whether climate change, cancer or national security,” she said. “The possibilities of AI for good are awesome, awesome.”

Following Granholm’s 15-minute address, a panel of experts from government, academia and industry took the stage to further discuss how AI accelerates advancements in scientific discovery, national security and energy innovation.

“AI is going to be transformative to our mission space.… We’re going to see these big step changes in capabilities,” said Helena Fu, director of the Office of Critical and Emerging Technologies at the Department of Energy, underscoring AI’s potential in safeguarding critical infrastructure and addressing cyber threats.

During her remarks, Granholm also stressed that AI’s increasing energy demands must be met responsibly.

“We are going to see about a 15% increase in power demand on our electric grid as a result of the data centers that we want to be located in the United States,” she explained.

However, the DOE is taking steps to meet this demand with clean energy.

“This year, in 2024, the United States will have added 30 Hoover Dams’ worth of clean power to our electric grid,” Granholm announced, emphasizing that the clean energy revolution is well underway.

AI’s Impact on Scientific Discovery and National Security

The discussion then shifted to how AI is revolutionizing scientific research and national security.

Tanya Das, director of the Energy Program at the Bipartisan Policy Center, pointed out that “AI can accelerate every stage of the innovation pipeline in the energy sector … starting from scientific discovery at the very beginning … going through to deployment and permitting.”

Das also highlighted the growing interest in Congress to support AI innovations, adding, “Congress is paying attention to this issue, and, I think, very motivated to take action on updating what the national vision is for artificial intelligence.”

Fu reiterated the department’s comprehensive approach, stating, “We cross from open science through national security, and we do this at scale.… Whether they be around energy security, resilience, climate change or the national security challenges that we’re seeing every day emerging.”

She also touched on the DOE’s future goals: “Our scientific systems will need access to AI systems,” Fu said, emphasizing the need to bridge both scientific reasoning and the new kinds of models we’ll need to develop for AI.

Collaboration Across Sectors: Government, Academia and Industry

Karthik Duraisamy, director of the Michigan Institute for Computational Discovery and Engineering at the University of Michigan, highlighted the power of collaboration in advancing scientific research through AI.

“Think about the scientific endeavor as 5% creativity and innovation and 95% intense labor. AI amplifies that 5% by a bit, and then significantly accelerates the 95% part,” Duraisamy explained. “That is going to completely transform science.”

Duraisamy further elaborated on the role AI could play as a persistent collaborator, envisioning a future where AI can work alongside scientists over weeks, months and years, generating new ideas and following through on complex projects.

“Instead of replacing graduate students, I think graduate students can be smarter than the professors on day one,” he said, emphasizing the potential for AI to support long-term research and innovation.

Learn more about how this week’s AI Summit highlights how AI is shaping the future across industries and how NVIDIA’s solutions are laying the groundwork for continued innovation. 

Accelerated computing is sustainable computing, Bob Pette, NVIDIA’s vice president and general manager of enterprise platforms, explained in a keynote at the NVIDIA AI Summit on Tuesday in Washington, D.C.

NVIDIA’s accelerated computing isn’t just efficient. It’s critical to the next wave of industrial, scientific and healthcare transformations.

“We are in the dawn of a new industrial revolution,” Pette told an audience of policymakers, press, developers and entrepreneurs gathered for the event​. “I’m just here to tell you that we’re designing our systems with not just performance in mind, but with energy efficiency in mind.”

NVIDIA’s Blackwell platform has achieved groundbreaking energy efficiency in AI computing, reducing energy consumption by up to 2,000x over the past decade for training models like GPT-4.

NVIDIA accelerated computing is cutting energy use for token generation — the output from AI models — by 100,000x, underscoring the value of accelerated computing for sustainability amid the rapid adoption of AI worldwide.

“These AI factories produce product.  Those products are tokens, tokens are intelligence, and Intelligence is money,” Pette said. That’s what “will revolutionize every industry on this planet.”

NVIDIA’s CUDA libraries, which have been fundamental in enabling breakthroughs across industries, now power over 4,000 accelerated applications, Pette explained.

“CUDA enables acceleration…. It also turns out to be one of the most impressive ways to reduce energy consumption,” Pette said.

These libraries are central to the company’s energy-efficient AI innovations driving significant performance gains while minimizing power consumption.

Pette also detailed how NVIDIA’s AI software helps organizations deploy AI solutions quickly and efficiently, enabling businesses to innovate faster and solve complex problems across sectors.

Pette discussed the concept of agentic AI, which goes beyond traditional AI by enabling intelligent agents to perceive, reason and act autonomously.

Agentic AI is capable of ”reasoning, of learning, and taking action,” Pette said. It’s transforming industries like manufacturing, customer service, and healthcare,” Pette said.

These AI agents are transforming industries by automating complex tasks and accelerating innovation in sectors like manufacturing, customer service and healthcare, he explained.

He also described how AI agents empower businesses to drive innovation in healthcare, manufacturing, scientific research and climate modeling.

With agentic AI, “you can do in minutes what used to take days,” Pette said.

NVIDIA, in collaboration with its partners, is tackling some of the world’s greatest challenges, including improving diagnostics and healthcare delivery, advancing climate modeling efforts and even helping find signs of life beyond our planet.

NVIDIA is collaborating with SETI to conduct real-time AI searches for fast radio bursts from distant galaxies, helping continue the exploration of space, Pette said.

Pette emphasized that NVIDIA is unlocking a $10 trillion opportunity in healthcare.

Through AI, NVIDIA is accelerating innovations in diagnostics, drug discovery and medical imaging, helping transform patient care worldwide.

Solutions like the NVIDIA Clara medical imaging platform are revolutionizing diagnostics, Parabricks is enabling breakthroughs in genomics research and the MONAI AI framework is advancing medical imaging capabilities.

Pette highlighted partnerships with leading institutions, including Carnegie Mellon University and the University of Pittsburgh, fostering AI innovation and development.

Pette also described how NVIDIA’s collaboration with federal agencies illustrates the importance of public-private partnerships in advancing AI-driven solutions in healthcare, climate modeling and national security.

Pette also announced that a new NVIDIA NIM Agent Blueprint supports cybersecurity advancements, enabling industries to safeguard critical infrastructure with AI-driven solutions.

In cybersecurity, Pette highlighted the NVIDIA NIM Agent Blueprint, a powerful tool enabling organizations to safeguard critical infrastructure through real-time threat detection and analysis.

This blueprint reduces threat response times from days to seconds, representing a significant leap forward in protecting industries.

“Agentic systems can access tools and reason through full lines of thought to provide instant one-click assessments,” Pette said. “This boosts productivity by allowing security analysts to focus on the most critical tasks while AI handles the heavy lifting of analysis, delivering fast and actionable insights.

NVIDIA’s accelerated computing solutions are advancing climate research by enabling more accurate and faster climate modeling. This technology is helping scientists tackle some of the most urgent environmental challenges, from monitoring global temperatures to predicting natural disasters.

Pette described how the NVIDIA Earth 2 platform enables climate experts to import data from multiple sources, fusing them together for analysis using Nvidia Omniverse. “NVIDIA Earth 2 brings together the power of simulation AI and visualization to empower the climate, tech ecosystem,” Pette said.

NVIDIA’s Greg Estes on Building the AI Workforce of the Future

Following Pette’s keynote, Greg Estes, NVIDIA’s vice president of corporate marketing and developer programs, underscored the company’s dedication to workforce training through initiatives like the NVIDIA AI Tech Community.

And through its Deep Learning Institute, NVIDIA has already trained more than 600,000 people worldwide, equipping the next generation with the critical skills to navigate and lead in the AI-driven future.

Exploring AI’s Role in Cybersecurity and Sustainability

Throughout the week, industry leaders are exploring AI’s role in solving critical issues in fields like cybersecurity and sustainability.

Upcoming sessions will feature U.S. Secretary of Energy Jennifer Granholm, who will discuss how AI is advancing energy innovation and scientific discovery.

Other speakers will address AI’s role in climate monitoring and environmental management, further showcasing the technology’s ability to address global sustainability challenges.

Learn more about how this week’s AI Summit highlights how AI is shaping the future across industries and how NVIDIA’s solutions are laying the groundwork for continued innovation. 

Washington, D.C., is where possibility has always met policy, and AI presents unparalleled opportunities for tackling global challenges.

NVIDIA’s AI Summit in Washington, set for October 7-9, will gather industry leaders to explore how AI addresses some of society’s most significant challenges.

Held at the Ronald Reagan Building and JW Marriott in the heart of the nation’s capital, the event will focus on the potential of AI to drive breakthroughs in healthcare, cybersecurity, manufacturing and more.

Attendees will hear from industry leaders in 50 sessions, live demos and hands-on workshops covering such topics as generative AI, remote sensing, cybersecurity, robotics and industrial digitalization.

Key Speakers and Sessions

Throughout the conference, speakers will touch on sustainability, economic development and AI for good.

A highlight of the event is the special address by Bob Pette, vice president of enterprise platforms at NVIDIA, on October 8, at 10 a.m. ET.

Pette will explain how NVIDIA’s accelerated computing platform enables advancements in sensor processing, autonomous systems, and digital twins. These AI applications offer wide-reaching benefits across industries.

Following Pette’s special address, Greg Estes, vice president of corporate marketing and developer programs at NVIDIA, will discuss how the company’s AI platform is empowering millions of developers worldwide.

Estes will provide insights into NVIDIA’s workforce development programs, which are designed to prepare the next generation of AI talent through hands-on training and certifications.

He’ll spotlight NVIDIA’s extensive training initiatives, including those offered at the AI Summit and throughout the year via the NVIDIA Deep Learning Institute, emphasizing how these programs are equipping individuals with the critical skills needed in the AI-driven economy.

Estes will also share examples of successful collaborations with federal and state governments, as well as educational institutions, that are helping to expand AI education and workforce development efforts.

In addition, Estes will highlight opportunities for organizations to partner with NVIDIA in broadening AI training and reskilling initiatives, ensuring that more professionals can contribute to and benefit from the rapid advancements in AI technology.

Other notable speakers include Lisa Einstein, chief AI scientist at the Cybersecurity and Infrastructure Security Agency (CISA), who will offer an executive perspective in her session, “Navigating the Future of Cyber Operations with AI.”

This session will provide critical insights into how AI is transforming the landscape of cyber operations and securing national infrastructure.

Additionally, Sheri Bachstein, CEO of The Weather Company, will focus on how AI-driven tools are addressing environmental challenges like climate monitoring, while Helena Fu, director at the U.S. Department of Energy, will speak to the role of AI in bolstering national security and advancing sustainable technologies.

Breakthroughs and Demos

With more than 60 sessions planned, the summit will explore critical topics such as generative AI, sustainable computing and AI policy.

Key sessions include Kari Briski, vice president of generative AI software product management at NVIDIA, discussing the impact of NVIDIA’s generative AI platform across industries, and Rev Lebaredian, vice president of Omniverse and simulation technology, covering the future of physical AI, robotics and autonomy.

Renee Wegrzyn, director of ARPA-H, and Rory Kelleher, who leads global business development for healthcare and life sciences at NVIDIA, will delve into AI-enabled healthcare, while Tanya Das, from the Bipartisan Policy Center, will examine how AI can drive scientific discovery, economic growth and national security.

Live demos will showcase groundbreaking innovations such as NVIDIA’s Earth-2, a climate forecasting tool, alongside advancements in quantum computing and robotics. A panel of NVIDIA experts, including Nikki Pope and Leon Derczynski, will address the tools ensuring safe and responsible AI deployment.

Hands-on technical workshops will offer attendees opportunities to earn certifications in data science, generative AI and other essential skills for the future workforce.

These sessions will provide participants with the tools needed to help Americans thrive in an AI-driven economy, enhancing productivity and creating new career opportunities.

Networking and Industry Partnerships

The summit will feature over 95 sponsors, including Microsoft, Dell and Lockheed Martin, showcasing how AI is transforming industries.

Attendees will be able to engage with these partners in the expo hall and explore how AI solutions are being implemented to drive positive change in the public and private sectors.

Whether attending in person or virtually, the NVIDIA AI Summit will provide insights into how AI is contributing to solutions for today’s most significant challenges.

NVIDIA is joining the U.S. government’s launch of the Partnership for Global Inclusivity on AI (PGIAI), providing Deep Learning Institute training, GPU credits and hardware and software grants in developing countries.

The partnership was announced today in New York at the U.N. General Assembly by U.S. Secretary of State Antony Blinken. The effort aims to harness the potential of artificial intelligence to advance sustainable development around the world.

“Artificial intelligence is driving the next industrial revolution, offering incredible potential to contribute meaningful progress on sustainable development goals,” said Ned Finkle, vice president of government affairs at NVIDIA. “NVIDIA is committed to empowering communities to use AI to innovate through support for research, education and small- and medium-size enterprises.”

NVIDIA is joined by Amazon, Anthropic, Apple,  Google, IBM, Meta, Microsoft and OpenAI in the initiative.

Members of the partnership have pledged to provide access to training, compute and other AI tools to drive sustainable development and improved quality of life in developing countries.

The PGIAI initiative recognizes that equitable AI requires understanding and respect for the diverse cultures, languages and traditions of the communities where services are provided. With that criteria, PGIAI members will focus on increasing access to AI models, APIs, compute credit and other AI tools, as well as technical training and access to local datasets.

Under this partnership, NVIDIA will provide approximately $10 million in free training to universities and developers to help support AI for local solutions and development goals.

NVIDIA’s global Inception program supports nearly 5,000 startups in emerging economies with technical expertise, go-to-market support, hardware and software discounts and access to free cloud computing credits provided by NVIDIA partners.

In 2024, Inception provided access to more than $60 million worth of free cloud compute credits through partners to startups in emerging economies.

Learn more about the NVIDIA Inception program for startups. Learn more about the NVIDIA Deep Learning Institute.

All the electricity that powers NVIDIA’s global operations will come from renewable sources by the end of January.

It’s the right fuel for the company’s mission: to help customers and partners harness AI and accelerated computing for sustainable growth.

This week, world leaders gather in New York City to mark Climate Week 2024. It’s a good time to take stock of recent gains in energy efficiency in fields from manufacturing and cloud computing to healthcare and beyond.

Foxconn Saves Energy With Digital Twins

Foxconn, the world’s largest electronics manufacturer, is using accelerated computing and AI to build a digital twin of a new factory in Mexico, where it will train its robots and define production processes.

“Our digital twin will guide us to new levels of automation and industrial efficiency, saving time, cost and energy,” said Young Liu, chairman of Foxconn, which estimates a 30% annual energy savings.

It’s the latest company to employ software from the Siemens Xcelerator portfolio including Teamcenter and NVIDIA Omniverse, a platform for developing 3D workflows and applications based on OpenUSD.

“We will revolutionize how products and experiences are designed, manufactured and serviced,” said Roland Busch, president and CEO of Siemens AG. “In collaboration with NVIDIA, we will bring accelerated computing, generative AI and Omniverse integration across the Siemens Xcelerator portfolio.”

Siemens and NVIDIA executives will talk about their sustainability efforts in a Sept. 25 Climate Week event moderated by TIME magazine.

Cloud Services Increase Efficiency  

Cloud computing services are also racking up advances in energy efficiency.

An e-commerce website uses NVIDIA AI to connect hundreds of millions of shoppers a day to the products they need. After migrating from CPUs to GPUs, it achieved significantly lower latency with a 33x speedup and nearly 12x energy-efficiency improvement.

A popular video conferencing application captions several hundred thousand virtual meetings an hour. By switching from CPUs to GPUs, throughput increased from just three to 200 queries per second — a 66x speedup and 25x energy-efficiency improvement.

To meet sustainability goals, service providers and their customers are increasingly turning to renewable energy sources.

For example, Equinix is the first global data center provider to publish a science-based climate neutral target and 100% renewable energy goal by 2030. Currently, renewables address 96% of the energy it uses, giving customers access to technologies such as NVIDIA DGX systems for sustainable, private AI.

The DGX systems use NVIDIA H100 Tensor Core GPUs, which offer up to 4x more energy efficiency than previous models. Equinix employs advanced liquid cooling to reduce power and water consumption.

The evolution of the data center will be discussed at a Climate Week event hosted by NVIDIA and Crusoe Energy Systems, a company that builds and operates clean computing infrastructure.

Decoding Cancer While Saving Energy

Healthcare companies are adopting AI and accelerated computing to help them understand and treat diseases.

For instance, the Wellcome Sanger Institute runs one of the largest genome sequencing facilities in the world. Its cancer program sequences and analyzes tens of thousands of cancer samples.

Using NVIDIA Parabricks software on NVIDIA DGX systems reduces its run times by 1.6x, capital costs by 24x and energy consumption by up to 42x. That amounts to potential savings of $1 million and 1,000 megawatt-hours a year.

The latest version of Parabricks, released in mid-September, can further enhance such work.

“The Sanger Institute handles hundreds of thousands of samples annually,” said Jingwei Wang, a principal software developer at Wellcome Sanger in a profile describing its work. “With NVIDIA GPUs and Parabricks accelerated genomic analysis software, we will save considerable time, cost and energy analyzing them.”

Expanding the Sustainability Ecosystem 

In addition to enabling efficiency gains for customers, NVIDIA is nurturing a broad ecosystem focused on sustainability.

For example, a collaboration with the United Nations announced last year has already trained more than 14,000 data scientists on how to design AI models for early flood detection.

Entrepreneurs increasingly see opportunities here, too.

Sustainable Futures, an initiative of the NVIDIA Inception program, now includes more than a thousand startups pioneering new paths to energy efficiency. They apply a mix of AI, accelerated computing and open platforms like NVIDIA Earth-2 to speed climate and weather predictions.

Savings Span Global Industries

These examples provide a taste of what’s happening and what’s to come.

“The generative AI revolution is poised to impact every industry and enable a new era of productivity and sustainability by unlocking efficiencies and resource optimization across sectors,” said NVIDIA founder and CEO Jensen Huang in the company’s latest sustainability report.

It’s a reality independent analysts recognize.

“Even if the predictions that data centers will soon account for 4% of global energy consumption become a reality, AI is having a major impact on reducing the remaining 96% of energy consumption,” said a report from Lisbon Council Research, a nonprofit formed in 2003 that studies economic and social issues.

45,000x Efficiency Gain in AI Inference

NVIDIA works continuously to expand and optimize its full stack of technologies to enable greater efficiencies.

From 2016 to 2025 when the NVIDIA Blackwell platform will ship in volume, NVIDIA AI computing will have achieved approximately 10,000x more energy efficiency for AI training and inference.

To put that into perspective, if the efficiency of cars improved as much as NVIDIA has advanced the efficiency of AI on its accelerated computing platform, they’d get 280,000 miles per gallon. That’s enough to drive to the moon, and back, on less than a gallon of gasoline.

Speedups over CPUs from 20x to 160x — and their associated energy savings — are available across the gamut of workloads from data processing to computer vision the NVIDIA accelerated computing platform serves. That’s why accelerated computing is often called sustainable computing.

Expanding Climate Week’s Agenda

Rallying support for sustainability, NVIDIA and partners are taking part in a handful of other Climate Week events.

They include a Climate AI Summit with Salesforce and a Climate Science Fair with about 30 startups, many using NVIDIA technologies. The Science Fair will give attendees an up-close look at how Earth-2 enables simulation on a planetary scale.

It’s another small step toward helping people understand how to use AI and accelerated computing to address climate change.

“Accelerated computing is how to meet the massive demand for computing power sustainably and cost-effectively,” Huang said.

Learn more about how NVIDIA’s technologies support corporate sustainability.