Anthropic's In-House Chip Team Wants to Halve Claude's Costs
Originally published on AI Tech Connect. What you need to know Anthropic confirmed an in-house silicon team on 5 August — the first public acknowledgement of a chip effort the company had previously kept quiet. The pitc
Originally published on AI Tech Connect.
What you need to know Anthropic confirmed an in-house silicon team on 5 August — the first public acknowledgement of a chip effort the company had previously kept quiet. The pitch is co-design: silicon and Claude models developed together, with reports citing a target of roughly 50% lower per-token inference costs. Nothing exists yet. This is a hiring announcement, not a product. Manufacturing talks with Samsung — reportedly around its 2 nm SF2P node — remain exploratory. The multi-vendor stack stays. Claude will keep running on AWS Trainium, Google TPUs, NVIDIA GPUs and AMD hardware; Anthropic's own part would slot in beside them. The salary band tells its own story: chip roles advertised at $320,000 to $485,000, and the premium leaks into every silicon-adjacent software skill. The…
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.