df1b4796159214e4e111379b0b95d4a4771b83f7730ad005bfd161d31c05f94a
AutoPhi V18-Achievement -- Unified Series #777
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 777 - Exa-class Quantum-Classical Hybrid Processor
AutoPhi V18 Unified 777: 1.59 EFLOPS Exa-class | 3nm | 523838 Qubits | Multi-die unified architecture
Overview
The AutoPhi V18 Unified 777 is a exa-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 3nm process technology. It delivers 1.59 EFLOPS peak performance with 724.531 TOPS AI acceleration across a 1392x1392 voxel grid (1,937,664 total voxels) stacked 183 layers deep (11 stack units of 18). Quantum subsystem: 523,838 qubits at 99.289% fidelity (error rate <0.711%) with 148,263 QEC-protected logical qubits. Clocked at 7.928 GHz with 2.65 PB/s memory bandwidth over 412 nanophotonic channels. Neuromorphic engine: 12.9M spiking neurons for event-driven AI processing. Power envelope: 16.0 W with 87% reduction vs 130nm baseline. Integrates 8/9 AutoPhi core technologies. Three-chromosome DNA encoding: 202-bit electron strand, 25 quantum instructions (atomic strand), 14 photon opcodes (light strand). Light-trigger initiated.
Performance Specifications
| Performance Class | Exa-class |
| Peak FLOPS | 1.59 EFLOPS |
| AI Acceleration (TOPS) | 724.531 |
| Clock Speed | 7.928 GHz |
| Process Node | 3nm |
| Node Performance vs 130nm | 85.0x |
| Voxel Grid | 1392x1392 (1937664 voxels) |
| Stack Layers | 183 layers / 11 units of 18 |
| Memory Bandwidth | 2.65 PB/s |
| Nanophotonic Channels | 412 |
| TSVs/mm2 | 4427 |
| Power Envelope | 16.0 W |
| Power Reduction vs 130nm | 87% |
| Area Reduction vs 130nm | 91% |
| Compute Role | Full CPU + max-GPU + full-DPU |
Quantum Subsystem
| Physical Qubits | 523838 |
| Logical Qubits (QEC) | 148263 |
| Fidelity | 99.289% |
| Error Rate | <0.711% |
Neuromorphic & AI
| Neuromorphic Neurons | 12.9M |
| TOPS | 724.531 |
| Thermal Zones | 25 |
18-Seed Voxel DNA Architecture
- Electron Chromosome: 202-bit instruction width
- Atomic Chromosome: 25 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: 93.1%)
- Quantum Battery Layers: Yes (13 layers)
- Quantum-Classical Hybrid: Yes
- Neuromorphic AI Engine: No
Valuation & Pricing (AES)
| IP Valuation | multi-billion-dollar opportunity[1] |
| AES COGS | $15.57M |
| AES Sell Price | $62.29M |
| 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
1607.6x NVIDIA H100 FLOPS | 679.3x H100 memory BW | +quantum +photonic +neuromorphic
FLOPS vs H100: 1607.6057x | BW vs H100: 679.2807x
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) | $15.57M |
| AES Sell Price | $62.29M |
| 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
