Anthropic confirmed Wednesday that it is building an in-house chip design team to create custom silicon for its Claude family of AI models, validating an exclusive Reuters report from April. The company will continue hiring engineers capable of co-designing hardware and software to improve Claude's speed and efficiency while maintaining relationships with existing hardware suppliers such as Nvidia, AMD, AWS, and Google Cloud. Anthropic stressed this is part of a multi-chip strategy, not a replacement for partners, as demand for AI computing continues climbing. Nvidia's Blackwell GPUs remain difficult to obtain, while shipments of Nvidia's next-generation Vera Rubin platform are ramping up despite price tags of roughly $55,000 per GPU. A fully populated Vera Rubin NVL72 rack containing 72 GPUs is estimated to cost between $7.8 million and $9.1 million before networking and supporting infrastructure are included. A hyperscale AI data center can deploy anywhere from 5,000 to 50,000 racks, with even the low end representing tens of billions of dollars in hardware. Anthropic's move into custom silicon reflects demand so extreme that no single supplier can satisfy it, a broadly bullish signal for the entire AI semiconductor ecosystem.