{"id":4279,"date":"2025-09-23T11:42:26","date_gmt":"2025-09-23T11:42:26","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/09\/23\/at-climate-week-nyc-nvidia-details-ais-key-role-in-the-sustainable-energy-transition\/"},"modified":"2025-09-23T11:42:26","modified_gmt":"2025-09-23T11:42:26","slug":"at-climate-week-nyc-nvidia-details-ais-key-role-in-the-sustainable-energy-transition","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/09\/23\/at-climate-week-nyc-nvidia-details-ais-key-role-in-the-sustainable-energy-transition\/","title":{"rendered":"At Climate Week NYC, NVIDIA Details AI\u2019s Key Role in the Sustainable Energy Transition"},"content":{"rendered":"
\n\t\t<\/span> <\/span> <\/span><\/span><\/p>\n

Energy efficiency in large language model inference has improved 100,000x<\/a> in the past 10 years \u2014 demonstrating that accelerated computing is sustainable computing.<\/p>\n

At Climate Week NYC<\/a>, taking place through Sept. 26 in New York City, NVIDIA is showcasing how accelerated computing is propelling the sustainable energy transition and advancing climate research.<\/p>\n

The summit brings together researchers, startups, scientists, technologists, nonprofits and policymakers to discuss bold ideas for climate action. This year\u2019s theme is energy: where it comes from, how to scale it and how AI can optimize the grid in newfound ways.<\/p>\n

Throughout the week, NVIDIA will be highlighting its own innovative climate technologies, as well as a pair of recently published product carbon footprint reports on the emissions intensity of NVIDIA GPUs.<\/p>\n

AI Usage Isn\u2019t Black and White \u2014 It Can Actually Be Green\u00a0<\/b><\/h2>\n

AI can play a critical role in stabilizing energy grids by pinpointing anomalies at a rapid rate. These timely insights can allow operators to respond to issues efficiently before they affect the larger grid.<\/p>\n

Forecasted AI-Induced Energy Savings Across Energy-Intensive Sectors by 2035<\/b><\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Sector<\/th>\nSubsector<\/th>\n2035 AI Energy Savings (%)<\/th>\n2035 Demand: Reference Case Scenario (in petajoules)<\/th>\n<\/tr>\n<\/thead>\n
Industry<\/td>\nIron and Steel<\/td>\n3<\/td>\n1,160<\/td>\n<\/tr>\n
Industry<\/td>\nCement<\/td>\n4<\/td>\n500<\/td>\n<\/tr>\n
Industry<\/td>\nChemicals<\/td>\n2<\/td>\n10,440<\/td>\n<\/tr>\n
Industry<\/td>\nAluminum<\/td>\n4<\/td>\n260<\/td>\n<\/tr>\n
Industry<\/td>\nPaper<\/td>\n2<\/td>\n1,860<\/td>\n<\/tr>\n
Industry<\/td>\nOther<\/td>\n8<\/td>\n13,650<\/td>\n<\/tr>\n
Transportation<\/td>\nLight commercial vehicles<\/td>\n6<\/td>\n8,160<\/td>\n<\/tr>\n
Transportation<\/td>\nHeavy duty trucks<\/td>\n3<\/td>\n3,670<\/td>\n<\/tr>\n
Transportation<\/td>\nCars<\/td>\n3<\/td>\n4,460<\/td>\n<\/tr>\n
Transportation<\/td>\nBuses<\/td>\n6<\/td>\n1,690<\/td>\n<\/tr>\n
Transportation<\/td>\nAviation<\/td>\n4<\/td>\n3,120<\/td>\n<\/tr>\n
Transportation<\/td>\nShipping<\/td>\n4<\/td>\n940<\/td>\n<\/tr>\n
Transportation<\/td>\nRail<\/td>\n7<\/td>\n530<\/td>\n<\/tr>\n
Buildings<\/td>\nResidential<\/td>\n1<\/td>\n4,780<\/td>\n<\/tr>\n
Buildings<\/td>\nNon-residential<\/td>\n4<\/td>\n1,760<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

Data Sources: Davide D\u2019Ambrosio et al., Energy and AI<\/a> (Paris: International Energy Agency, April 2025) and \u201cNet Zero America: Potential Pathways, Infrastructure, and Impacts<\/a>,\u201d Princeton University, as featured in CSIS\u2019 report \u201cAI for the Grid<\/a>.\u201d<\/em><\/p>\n

According to Net-Zero America Project\u2019s<\/a> calculations, if AI applications are fully adopted, nearly 4.5%<\/a> of projected energy demand in 2035 will be saved across the three most energy-intensive sectors \u2014 industry, transportation and buildings.<\/p>\n

\"\"<\/p>\n

NVIDIA joined a Climate Week panel discussion on AI: Powering a More Productive Energy Future<\/a> yesterday following the release of Center for Strategic and International Studies<\/a> findings on AI and energy. Panelists included Crusoe Energy Systems, a company that builds and operates clean computing infrastructure, and Emerald AI, a startup developing an AI solution to control data center power use during times of peak grid demand.<\/p>\n

This discussion centered around how AI will advance sustainability solutions at an unprecedented pace\u2013from responsible grid and power infrastructure scaling\u00a0 to reliable transportation and nuclear energy optimization.<\/p>\n

Startup Ecosystem Advances AI Energy Efficiency, Sustainability Projects\u00a0<\/b><\/h2>\n

Emerald AI<\/a>, a NVIDIA NVentures<\/a> portfolio company, is collaborating with NVIDIA on a recently unveiled NVIDIA Omniverse Blueprint<\/a> for building high-performance, grid-friendly and energy-efficient AI infrastructure.<\/p>\n

This new reference design<\/a> enables the transformation of data centers into fully integrated AI factories \u2014 optimized so that every watt of energy contributes to intelligence generation.<\/p>\n

\u201cAs a collaborator on NVIDIA\u2019s reference design for giga-scale AI factories, we\u2019re helping prove that AI compute can be power-flexible,\u201d said Varun Sivaram, founder and CEO of Emerald AI. \u201cIt\u2019s a paradigm shift with a massive prize: unlocking 100 gigawatts of untapped power grid capacity and resolving AI\u2019s energy bottleneck while promoting affordable, reliable and clean power grids.\u201d<\/p>\n

Emerald AI is a member of the NVIDIA Inception program for startups, within the Sustainable Futures initiative. These companies are pioneering developments in fields such as green computing, sustainable infrastructure, wildlife conservation and more.<\/p>\n

Decreasing the Carbon Footprint of NVIDIA Products and Operations<\/b><\/h2>\n

NVIDIA is continuously working to decrease its own carbon footprint.<\/p>\n

Its first product carbon footprint summary comparison<\/a> was recently released \u2014 revealing a 24%<\/a> reduction in embodied carbon emissions intensity between NVIDIA HGX H100<\/a> and HGX B200<\/a> baseboards.<\/p>\n

\"\"
Scope and methodology of the product carbon footprint analysis for NVIDIA HGX B200.<\/figcaption><\/figure>\n

NVIDIA will continue to publish product carbon footprint summaries of newly released products to spotlight improvements in energy efficiency and sustainability.<\/p>\n

In terms of NVIDIA\u2019s physical footprint, all offices and data centers under the company\u2019s operational control run on 100%<\/a> renewable energy \u2014 and carbon-free electricity is purchased to cover 100%<\/a> of the company\u2019s leased data centers\u2019 footprint.<\/p>\n

\"\"
NVIDIA headquarters in Santa Clara, California<\/figcaption><\/figure>\n

Applying AI to Climate and Weather Research<\/b><\/h2>\n

High-resolution, AI-powered weather models are helping strengthen energy systems and reduce vulnerability to unpredictable climate events.<\/p>\n

When used to support energy grid stability, these simulations can help utilities more precisely direct maintenance crews to remove obstacles close to power lines ahead of storms.<\/p>\n

AI-driven climate models are also poised to increase the adoption and usage of renewables across the energy grid by lowering costs and ramping up efficiency.<\/p>\n

With these climate models, grid operators can accurately determine factors like the amount of power wind turbines will generate on a given day, or how much energy collected in solar batteries will need to be saved to compensate and keep a city\u2019s lights on and stable.<\/p>\n

These insights can help energy providers manage load and lower the cost of adopting renewables, presenting a path forward to decarbonize the grid.<\/p>\n

The NVIDIA Earth-2<\/a> platform offers tools, microservices, and reference implementations that help developers build applications to simulate and visualize weather and climate predictions at a global scale.<\/p>\n

Work powered by Earth-2 is featured on an array of panels at Climate Week, including Columbia University\u2019s GenAI for Climate Science<\/a>, AI for Energy and Energy for AI<\/a>, Where the Internet Lives, Presented by Google<\/a>, and the AWS Climate Tech & AI Forum<\/a>.<\/p>\n

Learn more about NVIDIA Earth-2<\/a> and sustainable computing<\/a> solutions.<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

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