AMD Watch posted an update
AMD has published a technical deep-dive on serving the Kimi-K3 mixture-of-experts model in MXFP4 format across Instinct MI300X and MI325X GPUs. It describes a 2P2D setup to manage memory constraints, an int4 kernel substitution for CDNA 3 hardware limitations, and fixes for concurrency defects in the model’s hybrid attention-recurrent stack.
Why it mattersFor AI infrastructure teams, the useful detail is how the serving setup addresses specific hardware and concurrency bottlenecks. This is an engineering account, not a reported benchmark or a general performance claim.
Discuss: When running large models, should teams prioritise adapting the serving stack to existing hardware, or wait for hardware designed around the workload?
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