Anthropic moved Claude to AMD chips in three days, almost no humans
Anthropic says it ported Claude to AMD graphics processors in just three days, with almost no human help, and that it no longer depends on Nvidia hardware.

Anthropic says it got Claude running on AMD graphics processors in three days, and that people barely had to touch the job.
The company says the port shows it has broken free of dependence on Nvidia hardware. Its approach is to use several types of chips rather than bet on one supplier.
Why moving Claude off Nvidia CUDA matters
Nvidia's grip on AI hardware comes partly from CUDA, its software platform for programming GPUs. Code written for CUDA doesn't simply run on other makers' chips, so switching usually means rewriting a lot of low-level software. That is slow and expensive work, which is why a three-day move is the striking part of this claim.
According to Anthropic, that work was done almost entirely without human involvement. The source material doesn't say how the automation worked or which AMD chips were used, so those details are left open.
What it means
For a company that trains and serves a large AI model, being able to shift between chip vendors gives it more room when supply is tight or prices climb. AMD, long the main rival to Nvidia in GPUs, gets a high-profile example of a leading AI lab running its flagship model on its hardware.
The figures here come from Anthropic's own statement. No independent benchmarks or performance comparisons were provided, so how Claude on AMD chips compares with Nvidia in speed or cost is not known.
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