ON1 (G116 V8): 38μs Black-Box AI Memory Retrieval on Virtual Chip ISA
The ON1 G116 v8 introduces a quantum-inspired virtual memory chip designed for advanced AI memory retrieval. This new architecture allows for observable latency in memory, compute, and ANN search processes, enhancing the performance of large language models. Users can test the system's latency decomposition through a public verification endpoint.
- ▪The G116 v8 features a latency-separated architecture that breaks down vector retrieval into three stages: Fetch, Compute, and Search.
- ▪Latency for the Fetch layer is approximately 0.1 to 0.5 microseconds per operation, while the Compute layer ranges from 0.4 to 2 microseconds.
- ▪The Search layer currently uses brute-force methods with a latency of 3 to 10 milliseconds per operation.
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ON1 G116 v8: 38μs Black-box AI Memory Retrieval on Virtual Chip ISA (Latency-Separated Fetch/Compute/ANN) — Live Tunnel Inside G116 v8: Quantum-Inspired Virtual Memory Chip – A New Paradigm for Black-Box AI Retrieval Unlike any conventional chip. G116 v8 introduces a quantum-inspired virtual ISA that makes memory, compute, and ANN search latency observable – not just a single opaque query time. Built for the next generation of LLMs (llama.cpp, real‑time RAG, natural language grounding).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.