Digital Event Horizon
NVIDIA has unveiled a range of groundbreaking innovations in energy efficiency and climate research, highlighting its commitment to advancing sustainable development and reducing carbon emissions. The company's showcase at Climate Week NYC demonstrated the potential of accelerated computing and energy-efficient infrastructure solutions to propel innovation in climate, energy, and beyond.
NVIDIA showcases its commitment to advancing energy efficiency and climate research at Climate Week NYC. Ai is playing a critical role in Vietnam's economic strategy, with the aim of reducing carbon emissions and promoting sustainable development. NVIDIA highlights its innovative climate technologies, including accelerated computing and energy-efficient infrastructure solutions. The company demonstrates that accelerated computing is sustainable computing, achieving a 100,000-fold improvement in energy efficiency in large language model inference over the past decade. Emerald AI, a startup collaborating with NVIDIA, develops an AI solution to control data center power use during peak grid demand. NVIDIA sets ambitious targets to reduce its own carbon footprint, with a 24% reduction in embodied carbon emissions intensity between NVIDIA HGX H100 and HGX B200 baseboards. The company runs all offices and data centers under its operational control on 100% renewable energy and purchases carbon-free electricity for leased data centers' footprint. NVIDIA applies AI to climate and weather research, helping strengthen energy systems and reduce vulnerability to unpredictable climate events.
NVIDIA, a leading innovator in artificial intelligence (AI) and computing technologies, has been making waves at Climate Week NYC, showcasing its commitment to advancing energy efficiency and climate research. The annual conference brings together researchers, startups, scientists, technologists, nonprofits, and policymakers to discuss bold ideas for climate action.
According to NVIDIA's Deputy Director, Vietnam National Innovation Center, AI is playing a critical role in the country's economic strategy, with the aim of reducing carbon emissions and promoting sustainable development. The company has been highlighting its own innovative climate technologies, including accelerated computing and energy-efficient infrastructure solutions.
One of the key highlights from Climate Week NYC was NVIDIA's showcase of how accelerated computing can propel energy savings and advance climate research. The summit brought together researchers, startups, scientists, technologists, nonprofits, and policymakers to discuss bold ideas for climate action. This year's theme focused on energy: where it comes from, how to scale it, and how AI can optimize the grid in newfound ways.
NVIDIA's research highlights the potential of energy-efficient infrastructure and AI models to propel innovation in climate, energy, and beyond. The company has published a pair of recently released product carbon footprint reports on the emissions intensity of NVIDIA GPUs. These reports demonstrate that accelerated computing is sustainable computing, as evidenced by a 100,000-fold improvement in energy efficiency in large language model inference over the past decade.
Another key development from Climate Week NYC was the announcement of Emerald AI, a startup developing an AI solution to control data center power use during times of peak grid demand. Emerald AI is collaborating with NVIDIA on a recently unveiled NVIDIA Omniverse Blueprint for building high-performance, grid-friendly and energy-efficient AI infrastructure. This new reference design enables the transformation of data centers into fully integrated AI factories — optimized so that every watt of energy contributes to intelligence generation.
"This new reference design for giga-scale AI factories will unlock 100 gigawatts of untapped power grid capacity and resolve AI's energy bottleneck while promoting affordable, reliable and clean power grids," said Varun Sivaram, founder and CEO of Emerald AI. "As a collaborator on NVIDIA's reference design, we're helping prove that AI compute can be power-flexible."
NVIDIA's commitment to sustainability extends beyond its products and operations. The company has set ambitious targets to reduce its own carbon footprint, with a 24% reduction in embodied carbon emissions intensity between NVIDIA HGX H100 and HGX B200 baseboards. Scope and methodology of the product carbon footprint analysis for NVIDIA HGX B200 can be found on the company's website.
In terms of NVIDIA's physical footprint, all offices and data centers under the company's operational control run on 100% renewable energy — and carbon-free electricity is purchased to cover 100% of the company's leased data centers' footprint. The company has also published a product carbon footprint summary comparison, highlighting improvements in energy efficiency and sustainability.
NVIDIA has also been applying AI to climate and weather research, with high-resolution, AI-powered weather models helping strengthen energy systems and reduce vulnerability to unpredictable climate events. These simulations can help utilities more precisely direct maintenance crews to remove obstacles close to power lines ahead of storms. 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.
The NVIDIA Earth-2 platform offers tools, microservices, and reference implementations that help developers build applications to simulate and visualize weather and climate predictions at a global scale. Work powered by Earth-2 is featured on an array of panels at Climate Week, including Columbia University's GenAI for Climate Science, AI for Energy and Energy for AI, Where the Internet Lives, Presented by Google, and the AWS Climate Tech & AI Forum.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Unveils-Groundbreaking-Innovations-in-Energy-Efficiency-and-Climate-Research-deh.shtml
https://blogs.nvidia.com/blog/ai-energy-innovation-climate-research/
Published: Thu Sep 25 21:45:57 2025 by llama3.2 3B Q4_K_M
