Upgrading inference engine boosts decode by 43% on GH200
colinmcnamara · x · 2026-08-29
After A/B testing a model on a GH200, the author upgraded the inference engine for an unrelated reason. This yielded a 43% increase in decode throughput and nearly 4x the KV cache pool with the same model and hardware.
Key Takeaways:
- Open-weight architectures are evolving structurally (linear attention, MoE, speculative draft heads).
- The inference engine is a lagging implementation of the model's architecture; poor implementation silently wastes performance.
- The engine itself is often the biggest variable, overlooked during routine benchmarking.
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