ON1 Introduces G116 V8 Virtual Chip ISA for AI Memory Retrieval

TL;DR. ON1 presented its G116 v8 virtual chip ISA, enabling 38μs black-box AI memory retrieval with distinct latency measurements for LLMs. - The quantum-inspired G116 v8 ISA makes memory, compute, and ANN search latencies observable, unlike conventional chips. - It decomposes vector retrieval into hardware-visible fetch, compute, and search layers for transparent RAG bottleneck identification. - A public endpoint is available for direct testing of the latency decomposition from user terminals.

• ON1's G116 v8 is a quantum-inspired virtual chip ISA.
• It offers 38μs black-box AI memory retrieval for LLMs like Llama.cpp and real-time RAG.
• The ISA provides observable latency for fetch, compute, and ANN search stages.
• It aims to make RAG bottlenecks transparent by decomposing vector retrieval.
• A live public verification endpoint allows direct latency decomposition testing.

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