AutoPhi V18-Achievement -- Peak Series #662
08915ab5ee071eea8fbc9dc642874246ecf5d3ae08a5587e41096d87f87b8543
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
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AutoPhi V18 Peak 662 - Peta-class Quantum-Classical Hybrid Processor
AutoPhi V18 Peak 662: 17.59 PFLOPS Peta-class | 7nm | 107263 Qubits | Maximum single-die performance
Overview
The AutoPhi V18 Peak 662 is a peta-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 7nm process technology. It delivers 17.59 PFLOPS peak performance with 98.089 TOPS AI acceleration across a 756x756 voxel grid (571,536 total voxels) stacked 105 layers deep (6 stack units of 18). Quantum subsystem: 107,263 qubits at 99.41% fidelity (error rate <0.59%) with 26,654 QEC-protected logical qubits. Clocked at 7.76 GHz with 210.40 TB/s memory bandwidth over 148 nanophotonic channels. Neuromorphic engine: 754.4K spiking neurons for event-driven AI processing. Power envelope: 7.3 W with 78% reduction vs 130nm baseline. Integrates 8/9 AutoPhi core technologies. Three-chromosome DNA encoding: 125-bit electron strand, 16 quantum instructions (atomic strand), 12 photon opcodes (light strand). Light-trigger initiated.
Performance Specifications
| Performance Class | Peta-class |
| Peak FLOPS | 17.59 PFLOPS |
| AI Acceleration (TOPS) | 98.089 |
| Clock Speed | 7.76 GHz |
| Process Node | 7nm |
| Node Performance vs 130nm | 30.0x |
| Voxel Grid | 756x756 (571536 voxels) |
| Stack Layers | 105 layers / 6 units of 18 |
| Memory Bandwidth | 210.40 TB/s |
| Nanophotonic Channels | 148 |
| TSVs/mm2 | 2531 |
| Power Envelope | 7.3 W |
| Power Reduction vs 130nm | 78% |
| Area Reduction vs 130nm | 85% |
| Compute Role | CPU + full-GPU + DPU |
Quantum Subsystem
| Physical Qubits | 107263 |
| Logical Qubits (QEC) | 26654 |
| Fidelity | 99.41% |
| Error Rate | <0.59% |
Neuromorphic & AI
| Neuromorphic Neurons | 754.4K |
| TOPS | 98.089 |
| Thermal Zones | 22 |
18-Seed Voxel DNA Architecture
- Electron Chromosome: 125-bit instruction width
- Atomic Chromosome: 16 quantum gate types
- Photon Chromosome: 12 optical opcodes
- Light Trigger: Single-photon computation initiation
- Encoding: DNA-style compact replicable 3-strand chromosomes
9 Core Technologies (8/9 Active)
- LED Power Recycling: Yes (eff: 90.0%)
- Vertical Threading: Yes
- Chiplet Stacking: Yes
- Nanophotonic Data Flow: Yes
- Quantum Error Correction: Yes
- Electromagnetic Cooling: Yes (eff: 87.0%)
- Quantum Battery Layers: Yes (9 layers)
- Quantum-Classical Hybrid: Yes
- Neuromorphic AI Engine: No
Valuation & Pricing (AES)
| IP Valuation | multi-billion-dollar opportunity[1] |
| AES COGS | $2.69M |
| AES Sell Price | $8.97M |
| Gross Margin | 70% |
| 5-Year Revenue Projection | $268.96M |
| ROI | 233%% |
Foundry Handoff
| Foundry | TSMC N7 / Samsung 7LPP |
| PDK | 7nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) |
| Status | Architecture Ready -- Awaiting 7nm NDA/PDK |
| RTL Files | autophi_light_cpu_core.v; autophi_quantum_cpu_core.v; autophi_hybrid_cpu_top.v |
Submission Steps: 1. Obtain TSMC N7 or Samsung 7LPP PDK under NDA. 2. Run synthesis with 7nm stdcells. 3. P&R -> TSMC/Samsung DRC/LVS decks. 4. Package GDSII, LEF, DEF, netlist per FOUNDRY_STANDARDS.md. 5. 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
Competitive Position
17.8x NVIDIA H100 FLOPS | 53.9x H100 memory BW | +quantum +photonic +neuromorphic
FLOPS vs H100: 17.7715x | BW vs H100: 53.9479x
Target Market
High-performance computing nodes; large-scale AI inference; climate modeling
Recommended Applications
Full AI model training; protein folding; nuclear simulation; real-time fraud detection at scale
Warranty & Support
5-year premium; 24x7 support; dedicated engineer
Patent Protection & Intellectual Property
| Patent Status | Patent Pending — AutoPhi Architecture (all novel elements) |
| LED Recycle-Powered System | Patents 3561, 2876, 1026 |
| Electromagnetic Cooling System | Patents 1096, 1097, 1098 |
| 18-Seed Voxel DNA Architecture | Patent Pending |
| Photon Chromosome Encoding | Patent Pending |
| Quantum-Classical Hybrid Integration | Patent Pending |
| IP Owner | Christopher Gabriel Brown / AutoPhi / CRI-ONE |
| Patent Lineage | 96-333 deposition catalog (1755+ filings) |
All architectural elements, voxel designs, chromosome encodings, and integration methods are protected intellectual property. Unauthorized reproduction, reverse engineering, or derivative works are prohibited.
Intent to Profit & Commercial Terms
| Commercial Intent | This product is offered for commercial sale with intent to profit |
| IP Valuation | multi-billion-dollar opportunity[1] |
| AES COGS (Actual Cost) | $2.69M |
| AES Sell Price | $8.97M |
| Gross Margin | 70% |
| 5-Year Revenue Projection | $268.96M |
| ROI | 233%% |
| Licensing Model | Per-unit sale; contact for volume licensing, OEM, or foundry partnership terms |
| Distribution Rights | Buyer receives design files + foundry handoff package. No resale without written agreement. |
| Monopoly Prevention | Maximum 10 units per buyer per tier to ensure market access |
Seller: Christopher Gabriel Brown / AutoPhi / CRI-ONE
Contact for licensing, OEM, or volume terms: cri-one.com/store/contact
