AutoPhi V18-Achievement -- Pro Series #444
1a94f9b759c522f7cf97422174daf1fdb887739ef7ac966fea4bb7a72b3844ce
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-Seed Voxel Processor -- Pro Series #444
AutoPhi V18 Pro 444: 3.44 TFLOPS Tera-class | 14nm | 4491 Qubits | Professional-grade hybrid computing
Overview
The AutoPhi V18 Pro 444 is a tera-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 14nm process technology. It delivers 3.44 TFLOPS peak performance with 2.215 TOPS AI acceleration across a 204x204 voxel grid (41,616 total voxels) stacked 34 layers deep (2 stack units of 18). Quantum subsystem: 4,491 qubits at 97.143% fidelity (error rate <2.857%). Clocked at 2.643 GHz with 1.73 TB/s memory bandwidth over 21 nanophotonic channels. Neuromorphic engine: 3.5K spiking neurons for event-driven AI processing. Power envelope: 42.9 W with 65% reduction vs 130nm baseline. Integrates 6/9 AutoPhi core technologies. Three-chromosome DNA encoding: 51-bit electron strand, 6 quantum instructions (atomic strand), 9 photon opcodes (light strand). Light-trigger initiated.
Key Specifications
| Performance | 3.44 TFLOPS (Tera-class) |
| Process Node | 14nm |
| Clock Speed | 2.643 GHz |
| AI Acceleration | 2.215 TOPS |
| Quantum Subsystem | 4,491 qubits at 97.143% fidelity (error rate <2.857%) |
| Memory Bandwidth | 1.73 TB/s |
| Nanophotonic Channels | 21 |
| Neuromorphic Engine | 3.5K spiking neurons |
| Power Envelope | 42.9 W |
| Power Reduction vs 130nm | 65% |
| Voxel Grid | 204x204 (41616 voxels, 34 layers, 2 stack units of 18) |
| Compute Type | CPU + GPU + light-DPU |
| Form Factor | Workstation |
| LED Power Recycling | 78.2% |
| EM Cooling Efficiency | 75.5% (zero moving parts) |
| Quantum Battery Layers | 2 |
| DNA Encoding | 51-bit electron strand, 6 quantum instructions, 9 photon opcodes |
| Instruction Set | Red=ADD, Blue=SUB, Green=MUL, Yellow=DIV, Cyan=LOAD, Magenta=STORE, White=BRANCH, UV=QGATE, IR=SYNC |
Target Markets
- Professional HPC
- AI training clusters
- drug discovery pipelines
Applications
- Drug candidate screening
- CFD simulation
- large language model fine-tuning
- weather prediction
Manufacturing & Fabrication
| Foundry | Samsung 14LPE / Intel 14nm / TSMC 16FF |
| PDK | 14nm PDK (NDA) |
| EDA Flow | Commercial (Synopsys/Cadence) |
| Readiness | Architecture Ready -- Awaiting 14nm PDK |
Manufacturing Steps
- Obtain 14nm PDK under NDA
- Run synthesis with 14nm stdcells
- P&R -> DRC/LVS with foundry decks
- Package per FOUNDRY_STANDARDS.md
- Submit via foundry design 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:
