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ON1-HAO/
G116

Name: G116
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G116 v8: Quantum-Inspired Virtual Memory Chip – A New Paradigm for Black-Box AI Retrieval

Commercial / Proprietary Architecture.
G116 v8 introduces a quantum-inspired virtual ISA that makes memory, compute, and ANN search latency observable. Built for high-performance, real-time LLM grounding and production-grade RAG deployment.

System Overview (Latency‑Separated Tiers)

G116 v8 decomposes vector retrieval into three hardware‑visible stages, making virtual chip latency transparent:

Fetch Layer – mmap‑based dataset mapping (zero‑copy, ~0.1–0.5 μs/op)
Compute Layer – vector transformations (NumPy / BLAS, ~0.4–2 μs/op)
Search Layer – ANN similarity (currently brute‑force, ~3–10 ms/op; FAISS/HNSW coming)

Benchmark (CPU, 10k–100k vectors)

Tier	Latency (per op)
Fetch	0.1 – 0.5 μs
Compute	0.4 – 2.0 μs
Search (brute)	3 – 10 ms

Public Test Endpoint (Bare‑Metal Tunnel Live)

Our public verification endpoint is currently live. You can test the latency decomposition directly from your terminal to verify the speed:

curl "https://unshaved-resolute-zipping.ngrok-free.dev/query?mode=search&n=5000&k=3"

ON1-HAO/G116

G116 v8: Quantum-Inspired Virtual Memory Chip – A New Paradigm for Black-Box AI Retrieval

System Overview (Latency‑Separated Tiers)

Benchmark (CPU, 10k–100k vectors)

Public Test Endpoint (Bare‑Metal Tunnel Live)

ON1-HAO/
G116