AutoPhi V18-Achievement -- Unified Series #706

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APV18-UNI-0706-5NM
$53.6M

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AutoPhi V18 Unified 706 - Peta-class quantum-classical hybrid processor. 98.61 PFLOPS peak | 210.81 TOPS | 197969 qubits | 5nm | 9.9 W net power (self-sufficient) | 8/9 technologies. Patent Pending. COGS: $13.40M. IP Valuation: multi-billion-dollar opportunity[1]. Foundry: TSMC N5 / Samsung 5LPE.
First to market

Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.

First posted: · Last updated:
Downloads
Instant download

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 706 - Peta-class Quantum-Classical Hybrid Processor

AutoPhi V18 Unified 706: 98.61 PFLOPS Peta-class | 5nm | 197969 Qubits | Multi-die unified architecture

Overview

The AutoPhi V18 Unified 706 is a peta-class quantum-classical hybrid processor built on the 18-seed voxel DNA architecture at 5nm process technology. It delivers 98.61 PFLOPS peak performance with 210.81 TOPS AI acceleration across a 960x960 voxel grid (921,600 total voxels) stacked 130 layers deep (8 stack units of 18). Quantum subsystem: 197,969 qubits at 99.109% fidelity (error rate <0.891%) with 51,810 QEC-protected logical qubits. Clocked at 7.342 GHz with 554.55 TB/s memory bandwidth over 219 nanophotonic channels. Neuromorphic engine: 2.2M spiking neurons for event-driven AI processing. Power envelope: 9.9 W with 83% reduction vs 130nm baseline. Integrates 8/9 AutoPhi core technologies. Three-chromosome DNA encoding: 151-bit electron strand, 19 quantum instructions (atomic strand), 13 photon opcodes (light strand). Light-trigger initiated.

Performance Specifications

Performance ClassPeta-class
Peak FLOPS98.61 PFLOPS
AI Acceleration (TOPS)210.81
Clock Speed7.342 GHz
Process Node5nm
Node Performance vs 130nm50.0x
Voxel Grid960x960 (921600 voxels)
Stack Layers130 layers / 8 units of 18
Memory Bandwidth554.55 TB/s
Nanophotonic Channels219
TSVs/mm23148
Power Envelope9.9 W
Power Reduction vs 130nm83%
Area Reduction vs 130nm88%
Compute RoleFull CPU + max-GPU + full-DPU

Quantum Subsystem

Physical Qubits197969
Logical Qubits (QEC)51810
Fidelity99.109%
Error Rate<0.891%

Neuromorphic & AI

Neuromorphic Neurons2.2M
TOPS210.81
Thermal Zones23

18-Seed Voxel DNA Architecture

  • Electron Chromosome: 151-bit instruction width
  • Atomic Chromosome: 19 quantum gate types
  • Photon Chromosome: 13 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: 89.4%)
  • Quantum Battery Layers: Yes (11 layers)
  • Quantum-Classical Hybrid: Yes
  • Neuromorphic AI Engine: No

Valuation & Pricing (AES)

IP Valuationmulti-billion-dollar opportunity[1]
AES COGS$13.40M
AES Sell Price$53.58M
Gross Margin75%
5-Year Revenue Projectionmulti-billion-dollar opportunity[1]
ROI300%%

Foundry Handoff

FoundryTSMC N5 / Samsung 5LPE
PDK5nm PDK (NDA)
EDA FlowCommercial (Synopsys/Cadence) + EUV
StatusArchitecture Ready -- Awaiting 5nm NDA/PDK
RTL Filesautophi_light_cpu_core.v; autophi_quantum_cpu_core.v; autophi_hybrid_cpu_top.v

Submission Steps: 1. Obtain TSMC N5 or Samsung 5LPE PDK under NDA. 2. Synthesize -> P&R with EUV-aware flow. 3. DRC/LVS with foundry 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

99.6x NVIDIA H100 FLOPS | 142.2x H100 memory BW | +quantum +photonic +neuromorphic

FLOPS vs H100: 99.6051x | BW vs H100: 142.1912x

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 StatusPatent Pending — AutoPhi Architecture (all novel elements)
LED Recycle-Powered SystemPatents 3561, 2876, 1026
Electromagnetic Cooling SystemPatents 1096, 1097, 1098
18-Seed Voxel DNA ArchitecturePatent Pending
Photon Chromosome EncodingPatent Pending
Quantum-Classical Hybrid IntegrationPatent Pending
IP OwnerChristopher Gabriel Brown / AutoPhi / CRI-ONE
Patent Lineage96-333 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 IntentThis product is offered for commercial sale with intent to profit
IP Valuationmulti-billion-dollar opportunity[1]
AES COGS (Actual Cost)$13.40M
AES Sell Price$53.58M
Gross Margin75%
5-Year Revenue Projectionmulti-billion-dollar opportunity[1]
ROI300%%
Licensing ModelPer-unit sale; contact for volume licensing, OEM, or foundry partnership terms
Distribution RightsBuyer receives design files + foundry handoff package. No resale without written agreement.
Monopoly PreventionMaximum 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

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