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Anthropic and Elon Musk's xAI Sign a Compute Deal

Anthropic, the maker of Claude, has signed a deal with xAI to use its computing resources. It is a strange but logical move: with GPUs in critical shortage, cooperating pays better than fighting over every chip. Both companies keep their competitive edge at the algorithm level, but save billions on infrastructure.

AI-processed from Wired; edited by Hamidun News
Anthropic and Elon Musk's xAI Sign a Compute Deal
Source: Wired. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
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Key metric #1Each new-generation LLM needs exponentially more resources to train: GPT-4 required millions of GPUs and a city's worth of electricity per day
Key metric #2Building a data center of the necessary scale takes 2-3 years of development and $2-5 billion in capital investment, plus a fight for access to electricity
Key metric #3Cooling that many GPUs requires dedicated power infrastructure and can consume tens of megawatts of electricity

Anthropic and Elon Musk's xAI have signed an unexpected partnership to share computing resources. With the AI race in full swing, the two rivals have found a form of cooperation that may rewrite the rules of the industry and change the dynamics of AI development.

A partnership between rivals in the middle of the race

Anthropic, the team that created Claude, has struck a deal with xAI for access to computing capacity and infrastructure resources. At first glance it looks odd: both companies are after the same place in the industry, compete for the same investors and are trying to seize the market leader's position in AI.

xAI recently raised an unprecedented $6 billion in investment and has publicly said it aims to build AGI faster than OpenAI and other competitors. Anthropic is backed by Google, Amazon and Salesforce, and has raised more than $4 billion over the past year.

Still, the leadership of both companies has acknowledged the obvious: a war over computing resources is more expensive and less efficient than sensible cooperation. The deal helps both sides speed up development and save billions on infrastructure, without losing their competitive edge at the level of algorithms and the final product that users see.

A critical shortage of compute

The main reason for the partnership is an acute shortage of GPUs and specialized chips for training large language models. In 2024-2025, demand for computing power is growing exponentially, outpacing supply by a wide margin. NVIDIA cannot fill all orders even at $40 thousand per H100 GPU, and newer suppliers such as Cerebras and Graphcore are only gaining momentum and are unlikely to close the gap in the next 18-24 months.

This is not just about a lack of chips. Computing power has become more expensive than hiring people and has turned into the main bottleneck in developing new models:

  • Each new-generation LLM needs exponentially more resources to train: GPT-4 required millions of GPUs and a city's worth of electricity per day
  • Building a data center of the necessary scale takes 2-3 years of development and $2-5 billion in capital investment, plus a fight for access to electricity
  • Cooling that many GPUs requires dedicated power infrastructure and can consume tens of megawatts of electricity

Instead of a multi-year cycle of building its own data centers, Anthropic can get immediate access to xAI's ready-made resources, saving billions and speeding up development of new versions of Claude.

A new trend in the AI industry

The deal points to a fundamental trend: competitors are ready to cooperate at the infrastructure level while fighting each other on products and research. OpenAI and Microsoft have long been allies (Azure), Google relies on its own TPUs, and Meta* hands out LLaMA on every available resource. Now Anthropic and xAI show that even direct competitors can work side by side on infrastructure without giving up their advantages in algorithms and product. This suggests we will see more such strategic alliances in the coming years.

What this means

In the new reality of the AI race, competition does not mean complete isolation. Companies will cooperate on infrastructure and data centers while competing on algorithms and products. This may lead to a healthier ecosystem in which innovation does not depend solely on the size of a wallet, and startups have equal access to resources to compete with the giants.

*Meta has been designated an extremist organization and is banned in Russia.

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Key Questions Answered

What are the key details on A partnership between rivals in the middle of the race?

Anthropic, the team that created Claude, has struck a deal with xAI for access to computing capacity and infrastructure resources. At first glance it looks odd: both companies are after the same place in the industry, compete for the same investors and are trying to seize the market leader's position in AI. xAI recently raised an unprecedented $6 billion in investment and has publicly said it aims to build AGI faster than OpenAI and other competitors. Anthropic is backed by Google, Amazon and Salesforce, and has raised more than $4 billion over the past year. Still, the lea

What are the key details on A critical shortage of compute?

The main reason for the partnership is an acute shortage of GPUs and specialized chips for training large language models. In 2024-2025, demand for computing power is growing exponentially, outpacing supply by a wide margin. NVIDIA cannot fill all orders even at $40 thousand per H100 GPU, and newer suppliers such as Cerebras and Graphcore are only gaining momentum and are unlikely to close the gap in the next 18-24 months. This is not just about a lack of chips. Computing power has become more expensive than hiring people and has turned into the main bottleneck in developin

What are the key details on A new trend in the AI industry?

The deal points to a fundamental trend: competitors are ready to cooperate at the infrastructure level while fighting each other on products and research. OpenAI and Microsoft have long been allies (Azure), Google relies on its own TPUs, and Meta hands out LLaMA on every available resource. Now Anthropic and xAI show that even direct competitors can work side by side on infrastructure without giving up their advantages in algorithms and product. This suggests we will see more such strategic alliances in the coming years.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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