AutoPhi V18-Achievement -- Peak Series #600
93fe5a560921ed53baa6c0cde9718b5061a3668e0fa4de9d86772309ffe2bd8f
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
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 #1e1e1e
AutoPhi V18 Peak 600: 1.55 PFLOPS Peta-class | 7nm | 44596 Qubits | Maximum single-die performance
Overview
The AutoPhi V18 Peak 600 is a peta-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 7nm process technology. It delivers 1.55 PFLOPS peak performance with 33.375 TOPS AI acceleration across a 533x533 voxel grid (284,089 total voxels) stacked 77 layers deep (5 stack units of 18). Quantum subsystem: 44,596 qubits at 98.293% fidelity (error rate <1.707%) with 10,251 QEC-protected logical qubits. Clocked at 4.781 GHz with 53.70 TB/s memory bandwidth over 85 nanophotonic channels. Neuromorphic engine: 163.0K spiking neurons for event-driven AI processing. Power envelope: 480.3 W with 78% reduction vs 130nm baseline. Integrates 7/9 AutoPhi core technologies. Three-chromosome DNA encoding: 97-bit electron strand, 12 quantum instructions (atomic strand), 11 photon opcodes (light strand). Light-trigger initiated.
Key Specifications
| Performance | 1.55 PFLOPS (Peta-class) |
| Process Node | 7nm |
| Clock Speed | 4.781 GHz |
| AI Acceleration | 33.375 TOPS |
| Quantum Subsystem | 44,596 qubits at 98.293% fidelity (error rate <1.707%) |
| QEC Logical Qubits | 10,251 |
| Memory Bandwidth | 53.70 TB/s |
| Nanophotonic Channels | 85 |
| Neuromorphic Engine | 163.0K spiking neurons |
| Power Envelope | 480.3 W |
| Power Reduction vs 130nm | 78% |
| Voxel Grid | 533x533 (284089 voxels, 77 layers, 5 stack units of 18) |
| Compute Type | CPU + full-GPU + DPU |
| Form Factor | Server |
| LED Power Recycling | 88.6% |
| EM Cooling Efficiency | 83.8% (zero moving parts) |
| Quantum Battery Layers | 7 |
| DNA Encoding | 97-bit electron strand, 12 quantum instructions, 11 photon opcodes |
| Instruction Set | Red=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
| Foundry | TSMC N7 / Samsung 7LPP |
| PDK | 7nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) |
| Readiness | Architecture Ready -- Awaiting 7nm NDA/PDK |
Manufacturing Steps
- Obtain TSMC N7 or Samsung 7LPP PDK under NDA
- Run synthesis with 7nm stdcells
- P&R -> TSMC/Samsung DRC/LVS decks
- Package GDSII, LEF, DEF, netlist per FOUNDRY_STANDARDS.md
- Submit via TSMC design portal or Samsung 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.vautophi_quantum_cpu_core.vautophi_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:
