AutoPhi V18-Achievement -- Pro Series #507

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SKU
APV18-PRO-0507-10NM
$1.4M

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AutoPhi V18 Pro 507 - Tera-class quantum-classical hybrid processor. 40.59 TFLOPS peak | 6.624 TOPS | 11541 qubits | 10nm | 1.4 W net power (self-sufficient) | 6/9 technologies. Patent Pending. COGS: $495.6K. IP Valuation: $61.48M. Foundry: Samsung 10LPE / TSMC N10.
First to market

Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.

First posted: · Last updated:
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Instant download

Downloads immediately on checkout — the CD GDSII Generator (AES-256 encrypted). Open with 7-Zip, WinRAR, or macOS Archive Utility using password CRIONE99KEY. Founder Access Pass credit (code FAP99CREDIT) applies at checkout.

AutoPhi V18-Seed Voxel Processor -- Pro Series #272727

AutoPhi V18 Pro 507: 40.59 TFLOPS Tera-class | 10nm | 11541 Qubits | Professional-grade hybrid computing

Overview

The AutoPhi V18 Pro 507 is a tera-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 10nm process technology. It delivers 40.59 TFLOPS peak performance with 6.624 TOPS AI acceleration across a 305x305 voxel grid (93,025 total voxels) stacked 47 layers deep (3 stack units of 18). Quantum subsystem: 11,541 qubits at 97.156% fidelity (error rate <2.844%). Clocked at 3.195 GHz with 6.92 TB/s memory bandwidth over 37 nanophotonic channels. Neuromorphic engine: 16.4K spiking neurons for event-driven AI processing. Power envelope: 112.4 W with 72% reduction vs 130nm baseline. Integrates 6/9 AutoPhi core technologies. Three-chromosome DNA encoding: 66-bit electron strand, 8 quantum instructions (atomic strand), 10 photon opcodes (light strand). Light-trigger initiated.

Key Specifications

Performance40.59 TFLOPS (Tera-class)
Process Node10nm
Clock Speed3.195 GHz
AI Acceleration6.624 TOPS
Quantum Subsystem11,541 qubits at 97.156% fidelity (error rate <2.844%)
Memory Bandwidth6.92 TB/s
Nanophotonic Channels37
Neuromorphic Engine16.4K spiking neurons
Power Envelope112.4 W
Power Reduction vs 130nm72%
Voxel Grid305x305 (93025 voxels, 47 layers, 3 stack units of 18)
Compute TypeCPU + GPU + light-DPU
Form FactorServer
LED Power Recycling82.4%
EM Cooling Efficiency78.8% (zero moving parts)
Quantum Battery Layers4
DNA Encoding66-bit electron strand, 8 quantum instructions, 10 photon opcodes
Instruction SetRed=ADD, Blue=SUB, Green=MUL, Yellow=DIV, Cyan=LOAD, Magenta=STORE, White=BRANCH, UV=QGATE, IR=SYNC, Orange=MEASURE

Target Markets

  • Professional HPC
  • AI training clusters
  • drug discovery pipelines

Applications

  • Drug candidate screening
  • CFD simulation
  • large language model fine-tuning
  • weather prediction

Manufacturing & Fabrication

FoundrySamsung 10LPE / TSMC N10
PDK10nm PDK (NDA)
EDA FlowCommercial (Synopsys/Cadence)
ReadinessArchitecture Ready -- Awaiting 10nm PDK

Manufacturing Steps

  1. Obtain 10nm PDK under NDA
  2. Synthesize -> P&R -> DRC/LVS
  3. Package per FOUNDRY_STANDARDS.md
  4. Submit via foundry portal

Deliverables

  • GDSII (mask layout)
  • LEF (library exchange)
  • DEF (design exchange)
  • Gate-level netlist (Verilog)
  • DRC report
  • LVS report
  • FOUNDRY_HANDOFF_SIMPLE.txt
  • RTL (autophi_light_cpu_core.v + autophi_quantum_cpu_core.v + autophi_hybrid_cpu_top.v)
  • Synthesis scripts
  • P&R configurations
  • Manufacturing documentation
  • Performance projections

RTL Design Files

  • autophi_light_cpu_core.v
  • autophi_quantum_cpu_core.v
  • autophi_hybrid_cpu_top.v

Acquisition Path

This product is available through CGB's 4-step acquisition path. The current price is shown in your cart and on the live storefront page.

  • Step 1 — Proof of Function: public, $1.69 each.
  • Step 2 — Mathematical Deposition: reading material under mutual NDA.
  • Step 3 — Evaluation License: hands-on evaluation under NDA; fee credits toward Step 4.
  • Step 4 — Full Acquisition:

See the acquisition path overview →

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