GPT 5.6 Sol Ultra Improves Inference Throughput
sloppenheimer · x · 2026-07-11
The author reported that GPT 5.6 Sol Ultra boosted their Nemotron inference engine's throughput from 297 tps to 324–352 tps, an overall increase of about 11%, depending on the configuration.
He summarized a few key observations:
- Sol optimizes around the goal of "minimizing kernel launches per token."
- While early changes might degrade performance, it prioritizes long-term consistency and is willing to do retroactive refactoring for future gains.
- By contrast, Fable does not make such trade-offs during refactoring.
- Sol is more "diverse" in its approach to kernel fusion.
The author plans to continue using both Sol and Fable concurrently, calling Sol "absolutely insane."
Related event: GPT 5.6 Sol Ultra Boosts Inference Throughput by 11%(3 posts)→
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