Anthropic has signed a roughly $45 billion cloud infrastructure agreement with UK-based Nscale, securing about 460 megawatts of computing capacity in one of the clearest signs yet that the AI industry’s next competitive battle will be fought as much over access to power and chips as over the quality of its models.
Under the agreement, Anthropic will rent computing capacity at Nscale’s planned data-center development in West Virginia, according to two people familiar with the deal, who spoke to Bloomberg. The facility is expected to come online by the end of 2027 and will use Nvidia’s next-generation Vera Rubin chips.
The agreement, first reported by Bloomberg, comes as Anthropic races to expand the infrastructure behind its Claude models and enterprise AI products. The company has acknowledged that surging demand has already placed significant pressure on its computing resources, causing reliability and performance problems during periods of heavy usage.
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The size and duration of the Nscale commitment show how aggressively Anthropic is preparing for that demand to continue growing. Rather than waiting for computing capacity to become available, Anthropic is effectively reserving a large portion of future infrastructure years in advance. That strategy could give the company greater certainty over its ability to train and serve increasingly demanding AI models, at a time when leading AI developers are competing for access to advanced processors, data centers and electricity.
But the deal also introduces a substantial financial commitment at a crucial point in Anthropic’s development. The company is reportedly seeking to support a valuation of about $965 billion as it moves toward a potential public offering. Anthropic confidentially filed an IPO prospectus with the U.S. Securities and Exchange Commission in June and has begun preliminary discussions with prospective investors.
That makes its infrastructure spending important to the company’s future equity story. Investors will want to see that the billions being committed to computing translate into proportionately faster revenue growth, rather than simply allowing Anthropic to keep pace with competitors.
Anthropic has been expanding its infrastructure relationships rapidly. It has announced agreements involving Advanced Micro Devices, SpaceX, Google and Broadcom, reflecting a strategy that combines multiple sources of computing capacity and technology rather than relying on a single supplier.
The Nscale agreement adds another important layer to that strategy. The planned West Virginia facility will be built around Nvidia’s Vera Rubin architecture, tying Anthropic to Nvidia’s latest generation of AI accelerators as the company prepares for a new phase of model development and deployment.
For Nvidia, the deal is another indication of the scale of infrastructure spending that AI companies are willing to undertake. Demand for advanced accelerators has moved beyond the initial wave of model training and includes the enormous computing requirements associated with inference, as companies deploy AI assistants and agents to millions of users.
The economics are challenging, however. Training a frontier model requires enormous upfront computing investment, while serving models at scale creates recurring inference costs. Anthropic therefore needs to increase the amount of revenue generated from each unit of computing capacity while simultaneously bringing down the cost of delivering AI services.
That issue could become more important as AI competition intensifies. OpenAI and Google are also investing heavily in infrastructure, while companies across the sector are developing proprietary chips and alternative computing architectures in an effort to reduce dependence on Nvidia and improve costs.
Anthropic’s approach suggests that access to compute is becoming a long-term strategic asset. Securing capacity through 2027 could protect the company from supply constraints and give it room to expand Claude without having to negotiate for large blocks of infrastructure every time demand increases.
The risk is that AI demand may not grow quickly enough to absorb all the capacity being contracted today.
The 2027 delivery date also means Anthropic is making a major infrastructure bet on a market that is still evolving. The capabilities, pricing and economics of AI models could change substantially before the West Virginia facility becomes operational. A technological shift toward more efficient models or specialized processors could alter the amount of computing power required to generate a given level of AI output.
Anthropic is nevertheless betting that the bigger risk is underinvestment.
The company has already experienced the consequences of insufficient infrastructure as Claude usage has surged. If enterprise adoption, AI agents and complex workloads continue to expand, securing capacity years ahead could prove more valuable than maintaining maximum flexibility.
The Nscale agreement consequently marks a shift in the AI race from simply building better models to building the industrial capacity required to run them. Anthropic’s challenge now is to ensure that its infrastructure expansion does not outrun its commercial growth.