Anthropic touts three-day Claude port to AMD GPUs in IPO roadshow

Anthropic told investors that its Mythos model got Claude running on AMD MI355X GPUs in about three days, with Mythos writing or porting nearly all the necessary kernels and, in co-founder Tom Brown's words, basically no human intervention. The timeline covers bringing up prompt processing for one Anthropic model at a useful performance level, not a full migration of Claude's training and operations. Anthropic says its compute architecture spans Nvidia GPUs, AMD GPUs, AWS Trainium and Google TPUs, treated as a shared capacity pool.

Anthropic kicked off its IPO roadshow yesterday, and its roadshow video disclosed previously unreleased details about how the business works, including a section on compute strategy with co-founder Tom Brown. Brown said Anthropic trains and serves Claude across AWS Trainium, Google TPUs, NVIDIA GPUs and AMD GPUs, and that when the company began working with AMD GPUs this year, a system called Mythos got Claude running on AMD in three days with basically no human intervention, porting or writing almost 100% of the kernels. He also described compute multipliers as a second driver of compute advantage, saying each multiplier stacks on the ones before it and that Claude may eventually discover them entirely by itself.

Anthropic says it ported Claude to AMD GPUs in three days with almost no human intervention, using its frontier model Mythos to write nearly 100 percent of the kernels itself. Co-founder Tom Brown says Anthropic now trains and runs Claude across AWS Trainium, Google TPUs, Nvidia GPUs and AMD GPUs, treating them as one interchangeable compute pool. The figures come from an investor presentation and have not been independently verified; Anthropic cites three days versus the six to twelve months traditional engineering needs, measured on prompt processing with AMD MI355X GPUs.