Anthropic to Pay $45 B for 460 MW West Virginia Data Center Power, Using Nvidia's Vera Rubin Chips
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| Source: Techmeme | Original article
Anthropic will pay Nscale $45 billion over six years to rent roughly 460 MW of power at a West Virginia data center that runs Nvidia’s Vera Rubin chips.
Anthropic has struck a six‑year contract worth $45 billion with London‑based AI‑infrastructure firm Nscale to lease roughly 460 MW of power at the company’s Monarch Compute Campus in West Virginia. The agreement will run the new facility on Nvidia’s next‑generation Vera Rubin chips, giving Anthropic a dedicated slice of one of the nation’s largest AI‑focused data centres.
The deal marks one of the biggest single‑year compute spendings ever announced and pushes Anthropic’s total compute commitments past $150 billion, a deliberate strategy the company has pursued through parallel leases with other operators. By tying up a massive power envelope and cutting‑edge GPUs, Anthropic secures the hardware bandwidth needed to train and run its advanced language models, while Nscale locks in a marquee customer that could accelerate its upcoming New York listing.
The significance extends beyond the two firms. The scale of the contract underscores the growing concentration of AI workloads in a handful of ultra‑large data centres and the corresponding pressure on regional power grids. It also highlights Nvidia’s dominance as the de‑facto supplier for high‑performance AI hardware, with the Vera Rubin line becoming a benchmark for future‑generation models. For the broader market, the transaction signals that venture‑backed AI startups are now operating with capital reserves comparable to those of the tech giants.
Watch‑makers should monitor Nscale’s listing process and any regulatory review of the deal, given the sheer amount of power involved. Analysts will also be keen to see how Anthropic integrates the capacity into its model‑development pipeline and whether other AI firms will follow suit with similarly sized compute leases. The partnership could set a template for how the next wave of AI services is provisioned at scale.
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