gw

A

NVIDIA-OpenAI Partnership

NVIDIA and OpenAI announced a major strategic partnership on September 22, 2025, to deploy at least 10 gigawatts (GW) of NVIDIA-powered computing systems. This massive scale involves millions of GPUs and is aimed at training and running OpenAI’s next-generation AI models, including pursuits toward superintelligence. NVIDIA will invest up to $100 billion in OpenAI, tied to deployment milestones, with the first 1 GW expected online in the second half of 2026 using NVIDIA’s Vera Rubin platform. The collaboration also includes joint optimization of hardware, software, and infrastructure roadmaps, positioning NVIDIA as OpenAI’s preferred partner for expanding AI factories.

Energy Consumption Per Day

The partnership’s 10 GW compute capacity represents the power draw. Assuming continuous full utilization (24 hours a day), this equates to approximately 240 gigawatt-hours (GWh) of energy consumption per day. For context, that’s roughly equivalent to the daily electricity use of over 18 million average U.S. households. Note that this is for the planned full deployment starting in 2026; current OpenAI operations (like training GPT-4) used far less, around 1,300 megawatt-hours (MWh) total for that model. No specific environmental mitigation details were mentioned in the announcement.

B

Overview of Microsoft-OpenAI Energy Deals

Microsoft and OpenAI’s partnership, primarily through Azure cloud infrastructure, has driven massive energy demands for AI training and inference. To meet these, Microsoft has secured several high-profile power purchase agreements (PPAs) and investments in nuclear and renewable sources. While not all deals explicitly name OpenAI, they directly support Azure data centers hosting OpenAI’s models (e.g., GPT series). These efforts align with Microsoft’s goal of carbon-negative operations by 2030. Below are the key deals as of October 2025.

Nuclear and Fusion Energy Deals

Microsoft is betting heavily on nuclear power for reliable, low-carbon baseload energy to fuel AI growth, with several projects tied to data center expansion for partners like OpenAI.

These nuclear initiatives are part of a broader trend where Microsoft and peers (e.g., Amazon, Google) are investing billions in nuclear to power AI, with projections of $250 billion in AI infrastructure spend in 2025 alone, including Microsoft’s $80 billion allocation.

Renewable Energy Deals

Microsoft has expanded its portfolio of renewable PPAs to ensure 100% clean energy matching for data centers by 2025, indirectly powering OpenAI via Azure.

Deal Partner(s) Value & Details Timeline & Capacity
Shizen Energy Solar PPAs Shizen Energy (Japan) Three 20-year agreements for solar power; supports Microsoft’s 2025 renewable targets and 2030 carbon-negative goal. Ongoing; data through August 2025, offsite PPAs only.
Nscale & Aker Renewable AI Infrastructure Nscale (AI hyperscaler), Aker (industrial investor) $6 billion+ for 100% renewable-powered AI data centers, including wind and solar projects. Announced September 18, 2025; multi-year rollout.
Broader Clean Energy Commitment Various (wind, solar projects) $10 billion total for renewables to offset AI growth; part of Azure OpenAI Service sustainability push. 2025 onward; aligns with global energy transition efforts.

Context and Challenges

These deals address the enormous power needs of OpenAI’s operations on Azure—e.g., training large models can consume gigawatt-hours equivalent to small cities. However, challenges include permitting delays, fusion tech risks, and grid bottlenecks, with AI data centers projected to strain U.S. power supplies through 2030. Microsoft views these as long-term solutions, blending nuclear reliability with renewable scalability. For more on OpenAI’s separate Stargate project (with Oracle/SoftBank), see related announcements, though it doesn’t overlap directly with Microsoft energy pacts.

C

Overview of Google’s AI Energy Deals

Google has ramped up investments in clean energy to meet the surging power demands of its AI operations, including training models like Gemini and expanding data centers. In 2025, the company plans to spend $75 billion on AI infrastructure alone, with a focus on nuclear for reliable baseload power and renewables for scalability. Key goals include achieving 24/7 carbon-free energy matching by 2030 and securing over 8 GW of new clean energy contracts in 2024. These deals support Google’s data centers, which consumed enough electricity in 2024 to power 1.5 million U.S. homes, with AI workloads driving a 48% year-over-year increase in emissions.

Nuclear Energy Deals

Google is leading Big Tech’s nuclear revival, signing multiple agreements for advanced small modular reactors (SMRs) and next-gen fission to provide dedicated, low-carbon power for AI facilities.

Renewable Energy Deals

Google prioritizes hydropower and other renewables for rapid deployment, blending them with nuclear for a diversified portfolio.

Deal Partner(s) Value & Capacity Timeline & Details Regions
U.S. Hydropower PPA Brookfield Asset Management (incl. Brookfield Renewable Partners) $3 billion for 3 GW 20-year agreements; initial deliveries in 2026, with Google investing $25 billion in data centers over two years Starts in Pennsylvania; expands to mid-Atlantic and Midwest (PJM region) for AI/cloud growth
UK Renewables Management Shell Undisclosed; supports broader clean energy procurement Ongoing; Shell manages Google’s UK renewable sourcing as part of the US-UK Tech Prosperity Deal United Kingdom; tied to £31 billion AI/quantum/nuclear investments

Other AI Infrastructure and Energy Initiatives

Context and Challenges

These deals position Google ahead in the AI energy race, with nuclear providing stability for always-on inference and renewables scaling for training bursts. However, experts warn of grid strains, permitting hurdles, and potential rate hikes for consumers. Google’s 2025 sustainability report highlights efficiency gains—Gemini AI’s power needs dropped significantly—offsetting some growth. The US-UK Tech Prosperity Deal amplifies this, with Google joining Microsoft and Nvidia in £31 billion commitments for AI infrastructure. Overall, AI could double data center power use by 2026, making these pacts critical for Google’s carbon-negative ambitions by 2030.