AutoPhi V18-Achievement -- Mid Series #364

Image SHA-256 — apv18-mid-0364-28nm.png
2901334575b6058c2e2aa1438c2e818d5981ac3b9ac7a46b7ae09a484b834ba1
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SKU
APV18-MID-0364-28NM
$224.3K

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AutoPhi V18 Mid 364 - Giga-class quantum-classical hybrid processor. 149.83 GFLOPS peak | 0.551 TOPS | 1301 qubits | 28nm | 263.9 mW net power (self-sufficient) | 5/9 technologies. Patent Pending. COGS: $89.7K. IP Valuation: $2.73M. Foundry: Samsung / TSMC / GlobalFoundries.
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 -- Mid Series #535353

AutoPhi V18 Mid 364: 149.83 GFLOPS Giga-class | 28nm | 1301 Qubits | Balanced power for demanding workloads

Overview

The AutoPhi V18 Mid 364 is a giga-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 28nm process technology. It delivers 149.83 GFLOPS peak performance with 0.551 TOPS AI acceleration across a 118x118 voxel grid (13,924 total voxels) stacked 21 layers deep (2 stack units of 18). Quantum subsystem: 1,301 qubits at 96.721% fidelity (error rate <3.279%). Clocked at 1.541 GHz with 296.8 GB/s memory bandwidth over 10 nanophotonic channels. Neuromorphic engine: 478 spiking neurons for event-driven AI processing. Power envelope: 12.7 W with 55% reduction vs 130nm baseline. Integrates 5/9 AutoPhi core technologies. Three-chromosome DNA encoding: 36-bit electron strand, 5 quantum instructions (atomic strand), 7 photon opcodes (light strand). Light-trigger initiated.

Key Specifications

Performance149.83 GFLOPS (Giga-class)
Process Node28nm
Clock Speed1.541 GHz
AI Acceleration0.551 TOPS
Quantum Subsystem1,301 qubits at 96.721% fidelity (error rate <3.279%)
Memory Bandwidth296.8 GB/s
Nanophotonic Channels10
Neuromorphic Engine478 spiking neurons
Power Envelope12.7 W
Power Reduction vs 130nm55%
Voxel Grid118x118 (13924 voxels, 21 layers, 2 stack units of 18)
Compute TypeCPU + GPU
Form FactorWorkstation
LED Power Recycling72.9%
EM Cooling Efficiency71.3% (zero moving parts)
DNA Encoding36-bit electron strand, 5 quantum instructions, 7 photon opcodes
Instruction SetRed=ADD, Blue=SUB, Green=MUL, Yellow=DIV, Cyan=LOAD, Magenta=STORE, White=BRANCH

Target Markets

  • Enterprise workstations
  • mid-range servers
  • financial modeling

Applications

  • Financial risk modeling
  • medium-scale AI training
  • quantum chemistry
  • genomic sequencing

Manufacturing & Fabrication

FoundrySamsung / TSMC / GlobalFoundries
PDK28nm PDK (NDA)
EDA FlowCommercial (Synopsys/Cadence)
ReadinessArchitecture Ready -- Awaiting 28nm PDK

Manufacturing Steps

  1. Obtain 28nm PDK under NDA
  2. Synthesize -> P&R -> foundry DRC/LVS
  3. Package GDSII, LEF, DEF, netlist 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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