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by matt-p
740 days ago
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I'm sure it probably is faster for thier own workloads (which they are choosing to benchmark on), why bother making it if not. But that is clearly not universally true, a GPU is clearly more versatile. This means nothing to most if they can't for example train an LLM on them. |
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