Enterprises that want to utilize the largest open-weight models in an agentic fleet have…
This is a AI post classified by Jev as AI infra & evals (a model release), kept by the AI Radar because it carries real work, not commentary.
Enterprises that want to utilize the largest open-weight models in an agentic fleet have a narrower choice of nodes and infrastructure that can support that level of quality. Kimi-K3 at 2.78T parameters is the largest model in the @Signal_65 PINNACLE GPU results, served from its MXFP4 weights on both current-generation platforms, and it is the one model where the comparison runs @AMD Instinct MI355X ahead of comp on both supported agent-count and speed. ➡️ 32 concurrent agents at the service level on one MI355X node against 20 on the B300 in our testing, 1.6x the headcount, with first token s
Posted by Signal65 (1.2k followers) 1 days ago · 11 likes · 38.9k views · view the original post on X. Kept by the AI Radar as AI infra & evals. Tools mentioned: Signal65 PINNACLE.
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