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Card 571 of 10002026-08-25 issue

Observed arrival · 2026-08-25

OnChip Lab: Inference From the Metal Up

onchiplab.space Observed source
Editorial interest 84/100 Selection signal · not a rating of the site

An on-device AI infrastructure project built around hand-written GPU and NPU kernels, a shared C++ runtime, and SDKs for six programming environments.

Landing page captured for the 2026-08-25 issue.

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

Read the marks

Editorial observations of this landing page, not a rating.

OpenPublic substance visible
PrettyNotable craft visible
ProPolished or operationally mature
NicheUnusually specific use

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onchiplab.space

Landing page observed 2026-08-25. The live site may have changed.