Anthropic confirmed it is building an in-house silicon team to design custom chips for its Claude AI model. The company wants to improve performance and efficiency as demand for its services continues to rise.
The company stated that it is hiring engineers with experience across the stack. Anthropic added that this move will let it co-design hardware and models together, allowing Claude to run faster and more efficiently at the scale its customers need.
The AI player described the silicon team as the latest step in its multi-chip approach. It is building a diversified hardware stack with chips from Amazon Web Services (AWS), Google, Nvidia, and AMD, which will remain central to how they scale.
Building AI chips in-house is expensive and technically demanding, but the benefits include improved performance and less dependence on Nvidia. Anthropic joins a growing list of AI companies pursuing custom silicon, following moves by OpenAI, Meta, Google, and Amazon.
IBM, in collaboration with the US Department of Energy-funded Quantum Science Center (QSC) at Oak Ridge National Laboratory (ORNL) and AMD, has introduced a co-design platform for quantum error correction that integrates quantum and high-performance computing.
Telia and Ericsson have transitioned 6G development from laboratory environments into active field trials of the technology.
IBM, in collaboration with Siemens, has announced new research intended to advance nanostack architecture, a novel transistor framework introduced earlier this year.
