SANTA CLARA, California: A global scramble to secure computing power for artificial intelligence is driving a wave of multi-billion-dollar deals, as companies from Nvidia to OpenAI lock in chips, cloud capacity, and talent to keep up with explosive demand.
The latest move came this week when Nvidia agreed to license technology from AI startup Groq for use in some of its chips, marking the company's largest deal to date and highlighting the premium Big Tech is placing on inference and data-center performance.
Below is a snapshot of major AI, cloud, and semiconductor deals announced in recent months.
OpenAI-related deals
Amazon and OpenAI
Amazon is considering an investment of around US$10 billion in OpenAI, though discussions remain "very fluid," according to a source familiar with the talks.
Disney and OpenAI
Walt Disney plans to invest $1 billion in OpenAI and allow the ChatGPT parent to use characters from franchises such as Star Wars, Pixar, and Marvel in its Sora video generator. Under the three-year licensing agreement, Sora and ChatGPT Images will begin generating videos featuring licensed characters early next year. The deal excludes talent likenesses and voices.
Broadcom and OpenAI
OpenAI has partnered with Broadcom to produce its first in-house AI processors, as it seeks greater control over the computing supply chain.
AMD and OpenAI
AMD agreed to supply AI chips to OpenAI under a multi-year deal that also gives OpenAI the option to buy up to about 10 percent of the chipmaker.
Nvidia and OpenAI
Nvidia is set to invest up to $100 billion in OpenAI and supply data-center chips, giving it a financial stake in a key customer.
Oracle and OpenAI
Oracle is reported to have signed one of the most significant cloud contracts ever, with OpenAI expected to buy $300 billion in computing power over roughly five years.
CoreWeave and OpenAI
CoreWeave signed a five-year, $11.9 billion contract with OpenAI in March, ahead of its IPO.
Stargate data center project
SoftBank, OpenAI, and Oracle formed Stargate, a joint venture to build AI data centers. Announced by U.S. President Donald Trump in January, the project could see investments of up to $500 billion.
Meta-related deals
Meta and CoreWeave
CoreWeave agreed to supply computing power to Meta under a $14 billion contract.
Meta and Oracle
Oracle is in talks with Meta on a multi-year cloud deal valued at about $20 billion.
Meta and Google
Google struck a six-year cloud computing agreement with Meta worth more than $10 billion.
Meta and Scale AI
Meta acquired a 49 percent stake in Scale AI for about $14.3 billion and brought in CEO Alexandr Wang to play a key role in its AI strategy.
Nvidia and chip sector deals
Nvidia and Groq
Nvidia licensed chip technology from Groq and hired Groq's CEO, Jonathan Ross, along with other engineers. CNBC reported Nvidia had agreed to acquire Groq's assets for $20 billion.
Microsoft, Nvidia, and Anthropic
Microsoft will invest up to $5 billion in Anthropic, while Nvidia will invest up to $10 billion, and Anthropic will commit $30 billion to cloud spending and up to 1 gigawatt of compute using Nvidia hardware.
Nvidia-backed group and Aligned Data Centers
A consortium including BlackRock, Microsoft, and Nvidia is buying Aligned Data Centers in a $40 billion deal.
Nvidia and Intel
Nvidia will invest $5 billion in Intel, giving it about a 4 percent stake.
Other major deals
Google in Texas
Google will invest $40 billion through 2027 to build three data centers in Texas.
Google and Windsurf
Google hired key staff from Windsurf and will pay $2.4 billion in licensing fees under a non-exclusive deal.
Nebius and Microsoft
Nebius will supply Microsoft with GPU infrastructure under a $17.4 billion, five-year agreement.
Intel and SoftBank
SoftBank injected $2 billion into Intel, becoming one of its top-10 shareholders.
Tesla and Samsung
Tesla signed a $16.5 billion chip-supply deal with Samsung.
Amazon and Anthropic
Amazon invested an additional $4 billion in Anthropic, doubling its stake in the Claude chatbot maker.
Together, the deals underscore the scale and urgency of the race to build AI infrastructure as demand continues to surge.
