AI Optimizes Inference Engine for 11% Performance Boost
sloppenheimer · x · 2026-07-11
A developer shared empirical results and future plans for optimizing the Nemotron inference engine using the GPT 5.6 Sol Ultra model.
- Performance Boost: After optimization, the Token processing rate increased from 297 TPS to 324-352 TPS (an 11% increase).
- Optimization Strategy: The model's objective was set around "minimizing kernel launches per Token." Although there was an initial performance drop, the model demonstrated long-term optimization decision-making capabilities.
- Next Steps: Implementing true parallel MoE DAG, optimizing batched prefill, redesigning cold start NVFP4, and more.
Related event: GPT 5.6 Sol Ultra Boosts Inference Throughput by 11%(3 posts)→
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