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AutoPhi V18-Achievement -- Unified Series #754
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 Unified 754 - Peta-class Quantum-Classical Hybrid Processor
AutoPhi V18 Unified 754: 646.43 PFLOPS Peta-class | 3nm | 382983 Qubits | Multi-die unified architecture
Overview
The AutoPhi V18 Unified 754 is a peta-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 3nm process technology. It delivers 646.43 PFLOPS peak performance with 485.702 TOPS AI acceleration across a 1237x1237 voxel grid (1,530,169 total voxels) stacked 164 layers deep (10 stack units of 18). Quantum subsystem: 382,983 qubits at 99.041% fidelity (error rate <0.959%) with 105,751 QEC-protected logical qubits. Clocked at 6.27 GHz with 1.60 PB/s memory bandwidth over 336 nanophotonic channels. Neuromorphic engine: 7.3M spiking neurons for event-driven AI processing. Power envelope: 14.4 W with 87% reduction vs 130nm baseline. Integrates 8/9 AutoPhi core technologies. Three-chromosome DNA encoding: 184-bit electron strand, 23 quantum instructions (atomic strand), 14 photon opcodes (light strand). Light-trigger initiated.
Performance Specifications
| Performance Class | Peta-class |
| Peak FLOPS | 646.43 PFLOPS |
| AI Acceleration (TOPS) | 485.702 |
| Clock Speed | 6.27 GHz |
| Process Node | 3nm |
| Node Performance vs 130nm | 85.0x |
| Voxel Grid | 1237x1237 (1530169 voxels) |
| Stack Layers | 164 layers / 10 units of 18 |
| Memory Bandwidth | 1.60 PB/s |
| Nanophotonic Channels | 336 |
| TSVs/mm2 | 3970 |
| Power Envelope | 14.4 W |
| Power Reduction vs 130nm | 87% |
| Area Reduction vs 130nm | 91% |
| Compute Role | Full CPU + max-GPU + full-DPU |
Quantum Subsystem
| Physical Qubits | 382983 |
| Logical Qubits (QEC) | 105751 |
| Fidelity | 99.041% |
| Error Rate | <0.959% |
Neuromorphic & AI
| Neuromorphic Neurons | 7.3M |
| TOPS | 485.702 |
| Thermal Zones | 24 |
18-Seed Voxel DNA Architecture
- Electron Chromosome: 184-bit instruction width
- Atomic Chromosome: 23 quantum gate types
- Photon Chromosome: 14 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: 91.9%)
- Quantum Battery Layers: Yes (12 layers)
- Quantum-Classical Hybrid: Yes
- Neuromorphic AI Engine: No
Valuation & Pricing (AES)
| IP Valuation | multi-billion-dollar opportunity[1] |
| AES COGS | $14.83M |
| AES Sell Price | $59.33M |
| Gross Margin | 75% |
| 5-Year Revenue Projection | multi-billion-dollar opportunity[1] |
| ROI | 300%% |
Foundry Handoff
| Foundry | TSMC N3 / Samsung 3GAE |
| PDK | 3nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) + GAA/EUV |
| Status | Architecture Ready -- Awaiting 3nm NDA/PDK |
| RTL Files | autophi_light_cpu_core.v; autophi_quantum_cpu_core.v; autophi_hybrid_cpu_top.v |
Submission Steps: 1. Obtain TSMC N3 or Samsung 3GAE PDK under NDA. 2. Synthesize with GAA-aware flow. 3. P&R -> DRC/LVS with 3nm decks. 4. Package per FOUNDRY_STANDARDS.md. 5. 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
Competitive Position
653.0x NVIDIA H100 FLOPS | 409.3x H100 memory BW | +quantum +photonic +neuromorphic
FLOPS vs H100: 652.9631x | BW vs H100: 409.2929x
Target Market
Datacenter cards; cloud computing instances; national lab deployments
Recommended Applications
Hyperscale AI inference; quantum error-corrected computation; multi-tenant cloud quantum; autonomous fleets
Warranty & Support
7-year enterprise; 24x7 priority; dedicated team
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) | $14.83M |
| AES Sell Price | $59.33M |
| Gross Margin | 75% |
| 5-Year Revenue Projection | multi-billion-dollar opportunity[1] |
| ROI | 300%% |
| 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
