Observed arrival · 2026-08-25
OnChip Lab: Inference From the Metal Up
An on-device AI infrastructure project built around hand-written GPU and NPU kernels, a shared C++ runtime, and SDKs for six programming environments.
Field notes
The documented workflow centers on loading a local model into an OnChip runtime and generating a stream through platform bindings, with the same behavior intended across supported environments. The page names six SDK targets—Swift, Kotlin, React Native, Flutter, TypeScript, and C++—and separates silicon-specific engines from the shared runtime. It also describes LLM, VLM, speech-to-text, text-to-speech, and embedding workloads, although the supplied evidence does not verify the claimed engines or benchmarks.
Observed signals
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Editorial observations of this landing page, not a rating.
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