Field noteOct 23, 20261 min read1 source

Kapitsa v0.2.15, an open-source Apple Silicon inference engine for Qwen and Nemotron, ships stability fixes and faster MoE prefill

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NACE AI released Kapitsa v0.2.15, an open-source inference engine targeting Apple Silicon.

What changed: Kapitsa v0.2.15 adds stability fixes and faster MoE prefill for its Apple Silicon inference engine; the archive covers related Apple Silicon inference and Nemotron, not this release.

The GitHub release lists a server-crash fix for systemone when a question exceeds 2,048 tokens, plus rejection of overly deep JSON before it reaches the parser.

The release reports faster prefill for a 35B-A3B mixture-of-experts model on an M5: 7.1% at 4K tokens and 6.5% at 16K tokens. Kapitsa says the resulting output is bitwise identical. It also adds kapitsa-systemone and kapitsa-drex-pointer to release packages, and changes releases to fail if the Homebrew tap cannot be updated.

Other changes include wrapping every decode with KFlash, with prompt-lookup rows opt-in through NI_KFLASH_BUDGET=1. The notes also describe a Flint decode issue producing garbage output on an M5 Ultra, not verified on a GPU, and a terminal-query leak fix. The source does not provide independent benchmarks, general performance figures across hardware, or evidence that the listed fixes have been validated outside the project’s stated tests.

Evidence / sources

  1. 1github.com/nace-ai/kapitsa/releases/tag/v0.2.15
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