Running Kimi K3 on MI355X at Better Performance per Dollar Than B300
Why CEREBRO kept it
LLM inference perf optimization
The text below is an automated extraction of the article at https://www.wafer.ai/blog/kimi-k3-mi355x, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (wafer.ai).
Is memory the moat? Running Kimi K3 at ~952 tok/s/node, AMD continues to prove its case as the winner in performance per dollar. Over the past several months, we’ve seen an explosion in the capabilities of open source models. With DeepSeek V4-Pro and GLM5.2 reaching near-Opus levels of intelligence, open source has emerged as a real, cost-efficient alternative to the closed source models we’ve been married to. But we have yet to see one like Kimi K3. Promising Fable/Sol levels of intelligence, Kimi K3 marks the start of a new era for open source. But a smarter model means a bigger model — and
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