AutoPhi V18-Achievement -- Peak Series #577

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SKU
APV18-PEA-0577-10NM
$7.7M

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AutoPhi V18 Peak 577 - Tera-class quantum-classical hybrid processor. 629.92 TFLOPS peak | 22.373 TOPS | 32057 qubits | 10nm | 3.0 W net power (self-sufficient) | 7/9 technologies. Patent Pending. COGS: $2.30M. IP Valuation: $282.63M. 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 -- Peak Series #6d6d6d

AutoPhi V18 Peak 577: 629.92 TFLOPS Tera-class | 10nm | 32057 Qubits | Maximum single-die performance

Overview

The AutoPhi V18 Peak 577 is a tera-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 10nm process technology. It delivers 629.92 TFLOPS peak performance with 22.373 TOPS AI acceleration across a 466x466 voxel grid (217,156 total voxels) stacked 68 layers deep (4 stack units of 18). Quantum subsystem: 32,057 qubits at 98.838% fidelity (error rate <1.162%) with 7,147 QEC-protected logical qubits. Clocked at 5.297 GHz with 32.35 TB/s memory bandwidth over 69 nanophotonic channels. Neuromorphic engine: 92.3K spiking neurons for event-driven AI processing. Power envelope: 347.7 W with 72% reduction vs 130nm baseline. Integrates 7/9 AutoPhi core technologies. Three-chromosome DNA encoding: 88-bit electron strand, 11 quantum instructions (atomic strand), 11 photon opcodes (light strand). Light-trigger initiated.

Key Specifications

Performance629.92 TFLOPS (Tera-class)
Process Node10nm
Clock Speed5.297 GHz
AI Acceleration22.373 TOPS
Quantum Subsystem32,057 qubits at 98.838% fidelity (error rate <1.162%)
QEC Logical Qubits7,147
Memory Bandwidth32.35 TB/s
Nanophotonic Channels69
Neuromorphic Engine92.3K spiking neurons
Power Envelope347.7 W
Power Reduction vs 130nm72%
Voxel Grid466x466 (217156 voxels, 68 layers, 4 stack units of 18)
Compute TypeCPU + full-GPU + DPU
Form FactorServer
LED Power Recycling87.1%
EM Cooling Efficiency82.5% (zero moving parts)
Quantum Battery Layers7
DNA Encoding88-bit electron strand, 11 quantum instructions, 11 photon opcodes
Instruction SetRed=ADD, Blue=SUB, Green=MUL, Yellow=DIV, Cyan=LOAD, Magenta=STORE, White=BRANCH, UV=QGATE, IR=SYNC, Orange=MEASURE, Violet=ENTANGLE

Target Markets

  • High-performance computing nodes
  • large-scale AI inference
  • climate modeling

Applications

  • Full AI model training
  • protein folding
  • nuclear simulation
  • real-time fraud detection at scale

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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