85-autophi-v21-ascension
Asset valuation: $10,000,000,000. SKU: APV21-ASN-0001-1.5NM | Tier: Ascension | Performance Class: Yotta-class | Compute Role: Ronna/Yotta-scale Compute + PhantasmPhi + Neuromorphic + Quantum | Use Case: Planetary-scale AI infrastructure
Imagine a staircase cut into a mountain, ten landings from bottom to top, and a chip waiting on every step. AutoPhi V21 Ascension is that staircase. It is the twenty-first generation of the AutoPhi voxel processor, spanning the node range from 130 nanometers down to 1.5 nanometers in ten named tiers, Bedrock to Ascension, each locked to one process node and holding one hundred SKUs, a thousand in all. Performance climbs through every SI prefix from kilo to Ronna, and the climb stops at Ronna, by design.
Every chip in the family is one all-custom die with zero companion chips. The instruction set is written like DNA in three strands: a 1,024-bit electron chromosome, ninety-six quantum gate types, and nineteen photon opcodes named by color, with the new Crimson opcode managing voxel state deep in the stack. All eleven core technologies are active at every tier, among them LED power recycling, cooling built into the active layers so the die does not depend on an external heatsink, quantum battery layers under a self-power doctrine, a neuromorphic engine of sixty-four neurons per voxel, PhantasmPhi ghost math brought on-die for the first time, and a QBeam link that sends and receives between chips.
This is for datacenter operators planning planetary-scale AI infrastructure and engineering buyers who want the whole ladder, not one rung. The buyer walks away with the defined architecture, all one thousand downloadable packages, and six draft RTL source files, marked as needing review and simulation before production. The patents and the novel architectural elements stay with the inventor.
Description
AutoPhi V21 Ascension — 1,000 Voxel Processors — 10 Tiers — 130nm to 1.5nm — 500 KFLOPS to 5 RFLOPS
Patents: USPTO 18/370,908 (LED Power Recycling / Light Trigger); USPTO 19/403,339 (Optical Quantum Battery); USPTO 19/540,453 (Consolidated Utility — 15 Inventions). Patent pending on all novel AutoPhi architectural elements.
Status: Architecture defined. 1,000 SKUs generated. RTL source generated (draft — requires review before production). Store wired. All 1,000 downloadable ZIP packages deployed.
Overview
AutoPhi V21 Ascension is the twenty-first generation of the AutoPhi voxel processor architecture, designed by Christopher Gabriel Brown at CRI-ONE / AutoPhi. Codename Ascension , version 21.0 , generated 2026-08-28. V21 spans the full semiconductor node range from 130nm down to 1.5nm across ten named tiers, each locked to a single process node. The architecture defines a 2,000 nano-layer voxel state ceiling with performance scaling from 500 KFLOPS (Kilo-class, 130nm seed) to 5 RonnaFLOPS (Ronna-class, 1.5nm full build). The climb stops at Ronna.
V21 Ascension is an all-custom IC — zero companion chips . Every function is integrated on-die. The substrate is AES (0.8 eV direct bandgap, 12,000 cm²/V-s electron mobility, 400 W/m-K thermal conductivity — 8× electron mobility and 2.7× thermal conductivity versus silicon). The architecture features a three-chromosome DNA instruction encoding: a 1,024-bit electron chromosome (doubled from V20’s 512 bits), 96 quantum gate types (+32 over V20), and 19 photon opcodes including the new Crimson VOXEL_STATE opcode for deep-layer voxel state management. All 11/11 core technologies are active at every tier, including PhantasmPhi ghost-math integration and the new QBeam quantum-to-quantum IC interconnect (400 GB/s bidirectional).
What “V21 Ascension” Means in AutoPhi Context
AutoPhi V21 Ascension is the successor to V20 Epiphany (999 ICs), V19 Pinnacle (1,000 ICs), and V18 Achievement (1,000 ICs). Where V19 peaked at 100 YottaFLOPS and V20 extended the architecture, V21 reaches 50× higher into Ronna-class performance. The name “Ascension” marks the architecture’s climb through every metric SI prefix from Kilo through Mega, Giga, Tera, Peta, Exa, Zetta, Yotta, and finally Ronna — the defined ceiling. Key V21 advances over V20 include: the electron chromosome doubled to 1,024 bits; quantum gate count raised to 96; the 19th photon opcode (Crimson/VOXEL_STATE) added; PhantasmPhi ghost-math integration brought on-die for the first time; the QBeam quantum-to-quantum IC interconnect added as the 11th active technology; and the layer ceiling raised from 1,200 to 2,000.
1 Quantum-Classical Hybrid 1,024-bit electron chromosome classical path fused with quantum gate array
2 LED Power Recycling 92% efficiency, Patent 18/370,908 — photon recycling in the power loop
3 Vertical Threading Through-silicon vias scaled per node (10–18,500 TSVs/mm²)
4 Electromagnetic Cooling 98% efficiency across all active layers — no external heatsink dependency
5 Chiplet Stacking 1–2,000 nano layers in 2.0–12.0 mm chip height; stack units of 18
6 Nanophotonic Data Flow 10–5,140+ nanophotonic channels; memory bandwidth up to 246+ PB/s (aim)
7 Quantum Error Correction 93.0%–99.999% fidelity; physical-to-logical qubit ratio ~0.52/0.35
10 PhantasmPhi Ghost-Math Integration 8–960 phantom modes per stack; ghost-math coprocessor on-die (V21 new)
Tier Code Node Layers Phantom Modes Performance Range (aim) Price Range Die Size Chip Height
1. Bedrock BDR 130 nm 1–20 8 500 KFLOPS – 3.87 MFLOPS $500 – $3.87K 10.0×10.0 mm 2.0 mm
2. Foundation FND 90 nm 10–40 8–16 4.51 MFLOPS – 34.86 MFLOPS $4.51K – $34.86K 12.9×12.9 mm 3.1 mm
3. Pillar PLR 65 nm 20–80 16–40 40.63 MFLOPS – 314.03 MFLOPS $40.63K – $314.03K 15.8×15.8 mm 4.2 mm
4. Spire SPR 45 nm 40–150 24–72 365.98 MFLOPS – 2.83 GFLOPS $365.98K – $2.83M 18.7×18.7 mm 5.3 mm
5. Tower TWR 32 nm 80–300 40–136 3.30 GFLOPS – 25.50 GFLOPS $3.30M – $25.50M 21.6×21.6 mm 6.4 mm
6. Citadel CTD 22 nm 150–500 72–224 29.71 GFLOPS – 229.62 GFLOPS $29.71M – $229.62M 24.4×24.4 mm 7.6 mm
7. Obelisk OBL 14 nm 300–800 136–360 267.55 GFLOPS – 2.07 TFLOPS $267.55M – $2.07B 27.3×27.3 mm 8.7 mm
8. Monolith MNL 10 nm 500–1,200 224–536 2.41 TFLOPS – 18.60 TFLOPS $2.41B – $18.60B 30.2×30.2 mm 9.8 mm
9. Pinnacle PNL 7 nm 800–1,600 360–712 21.67 TFLOPS – 167.51 TFLOPS $21.67B – $167.51B 33.1×33.1 mm 10.9 mm
10. Ascension ASN 1.5 nm 1,200–2,000 536–896 195.23 TFLOPS – 5.00 RFLOPS $195.23B – $5.00T 36.0×36.0 mm 12.0 mm
Six RTL source files are included, generated from the V21 specification by generate_v21_rtl.py . Status: DRAFT — requires review, simulation, and validation before production use.
File Module Purpose Key Parameters
autophi_v21_ascension_top.v autophi_v21_ascension_top Top-level V21 module — instantiates all five sub-units, implements top-level control logic, error detection, and performance metric output ELECTRON_WIDTH=1024, QUANTUM_GATES=96, PHOTON_OPCODES=19, VOXEL_GRID=3782, VOXEL_LAYERS=1200, PHANTOM_MODES=536, PHYSICAL_QUBITS=7437832, LOGICAL_QUBITS=2603241
v21_electron_decoder.v v21_electron_decoder Decodes the 1,024-bit classical electron chromosome instruction path WIDTH=1024; input: instruction[WIDTH-1:0]; output: decoded[WIDTH-1:0]
v21_quantum_gate_array.v v21_quantum_gate_array 96-gate quantum gate array for logical qubit operations — implements Identity, Pauli-X, Pauli-Y, Pauli-Z and extensible gate logic with fidelity tracking GATES=96, QUBITS=2603241; inputs: gate_select[6:0], state_in; outputs: state_out, phase, fidelity[7:0]
v21_photon_processor.v v21_photon_processor 19-opcode photon processor — decodes all 19 color-wavelength opcodes (Red/ADD through Crimson/VOXEL_STATE) with wavelength-based computation OPCODES=19; inputs: opcode[4:0], wavelength[7:0]; output: result[7:0]
v21_voxel_stack_controller.v v21_voxel_stack_controller Manages the 1,200-layer 3,782×3,782 voxel grid — layer/coordinate addressing with bounds checking LAYERS=1200, GRID_SIZE=3782; inputs: layer_select[10:0], x_coord[11:0], y_coord[11:0]; output: voxel_output[63:0]
v21_phantasmphi_unit.v v21_phantasmphi_unit PhantasmPhi ghost-math unit — 536 phantom modes for quantum ghost mathematics, takes quantum state output as input PHANTOM_MODES=536; inputs: mode_select[8:0], quantum_state[2603240:0]; output: phantom_result[31:0]
Additionally, rtl/manifest.json records the RTL generation metadata: file list, V21 specification snapshot (electron_bits, quantum_gates, photon_opcodes, voxel_grid, layers, phantom_modes, technologies, peak_performance, qubits), generation timestamp, and draft status.
SKU Naming Convention
Every SKU follows the pattern APV21-{TIER_CODE}-{NNNN}-{NODE} . Example: APV21-ASN-0001-1.5NM is the first Ascension-tier configuration at the 1.5nm node. Tier codes: BDR (Bedrock), FND (Foundation), PLR (Pillar), SPR (Spire), TWR (Tower), CTD (Citadel), OBL (Obelisk), MNL (Monolith), PNL (Pinnacle), ASN (Ascension). Each tier contains exactly 100 configurations numbered 0001–0100, with layers, clock speed, voxel count, phantom modes, and performance scaling linearly or logarithmically within the tier range.
spec.json Full machine-readable specification — 100+ fields including config_id, SKU, model name, tier, process node, clock, voxel grid, total voxels, stack layers, phantom modes, die geometry, peak FLOPS, TOPS, qubits (physical and logical), fidelity, memory bandwidth, nanophotonic channels, TSVs/mm², neurons, thermal zones, power, all 11 technology flags, substrate properties, pricing (IP valuation, COGS, sell price, gross margin, 5-year revenue, ROI), competitive benchmarks (vs. H100), compute role, use case, foundry target, PDK, EDA flow, handoff status, PCIe interface, card form factor, author, company, version, and codename
DATASHEET.md Complete technical datasheet with sales headline, description, key selling points, full specifications table, three-chromosome DNA table, photon encoding table, active technologies list, competitive position table, and pricing/business table
SALES_BRIEF.md One-page sales summary: one-line pitch, five reasons to buy, target buyer profile, pricing, and generational law statement
README.md Quick reference: tier, performance, layers, voxels, phantom modes, process, technologies, power, license terms
FOUNDRY_HANDOFF.md Foundry submission documentation: target foundry (TSMC A16 / Intel 18A for sub-2nm; TSMC / Samsung / GlobalFoundries for larger nodes), PDK requirements, EDA flow, submission steps, deliverables list (GDSII, LEF, DEF, netlist, DRC/LVS reports, RTL source, synthesis scripts, P&R configs), RTL source file inventory, key parameters table
Ascension Tier #901 — Sample Flagship Specifications
sku_config.py SKU Configuration Engine — defines all architecture constants (NODE_PERF_MULT, NODE_CLOCK_RANGE, NODE_FIDELITY_RANGE, PHOTON_TABLE, TIER_CODES, TIERS), financial parameters (MIN/MAX_FLOPS, MIN/MAX_PRICE, GROSS_MARGIN, REVENUE_MULTIPLE, ROI_PCT), and the compute_specs(config_id) function that computes all 100+ specification fields for any of the 1,000 configurations. Helper functions: log_lerp(a, b, t) for logarithmic interpolation, get_tier(config_id) for tier lookup.
build_1000_parts.py Generates all 1,000 part folders under v21-parts/ . For each config_id 1–1000, calls compute_specs() , creates the folder, and writes spec.json, DATASHEET.md, SALES_BRIEF.md, README.md, and FOUNDRY_HANDOFF.md. Functions: format_usd(n) , build_datasheet(s) , build_sales_brief(s) , build_readme(s) , build_foundry_handoff(s) , main() .
generate_v21_rtl.py Generates the six Verilog RTL files plus manifest.json in rtl/ . Functions: generate_v21_top() , generate_electron_decoder() , generate_quantum_gates() , generate_photon_processor() , generate_voxel_stack() , generate_phantasmphi() , generate_manifest() . Driven by V21_SPEC dictionary with all architecture parameters.
wire_v21_store.py Full end-to-end pipeline: builds ZIP archives, uploads to server via SFTP (paramiko), creates 1,000 downloadable products in the Magento database (mgcx_catalog_product_entity and associated EAV tables) with HTML descriptions, wires download links, reindexes, and flushes cache. Functions: build_description_html(s) , build_short_desc(s) , main() . Category ID: 3428 (AutoPhi V21 PhantasmPhi). Six deployment phases: A (build zips), B (upload zips), C (upload manifest), D (create products via PHP), E (reindex), F (cache flush).
rebuild_and_rewire.py Full rebuild pipeline — deletes existing V21 products from store, regenerates all 1,000 parts + zips, re-uploads, re-creates products with updated node-aware SKU structure, reindexes, verifies. Five phases: 0 (delete old), 1 (build parts + zips), 2 (upload zips), 3 (create products), 4 (reindex + cache), 5 (verify). Contains updated tier flavor text with node-specific descriptions.
update_picker.py Updates the performance-picker.html interactive chart with all 1,000 V21 entries. Generates v21_chart_entries.json from compute_specs() , uploads to server, merges with existing picker DATA array via PHP. Each entry includes sku, name, url, price, flops, flops_h, qubits, node, gen (APV21), fam (tier code), power_w, gate_fid.
patch_picker_axes.py Extends the performance picker Y-axis from 1e26 to 1e28 (Ronna range), adds RFLOPS gridline label, inserts V21 tier codes into FAM_COLOR (10 distinct colors from gold #d4a017 to deep indigo #0a0668), FAM_LABEL, and FAM_ORDER arrays.
gen_tier_images.py Generates 10 pastel-style 600×600 GIF tier images using PIL/Pillow. Each image shows a chip icon with layer-density visualization, tier name, process node, layer range, and “PhantasmPhi · Ronna Climb” tagline. Colors progress from warm gold (Bedrock/130nm) to deep indigo (Ascension/1.5nm).
upload_and_wire_images.py Uploads the 10 tier images to server and wires each to its 100 products via Magento’s image attribute IDs (image=87, small_image=88, thumbnail=89, swatch_image=135). Paths: /pastel-illustrations/v21-{tier}.gif .
create_gallery.py Creates media gallery entries in mgcx_catalog_product_entity_media_gallery and links each tier image to its 100 products via the value-to-entity join table. Gallery attribute ID: 90.
gen_url_rewrites.py Generates URL rewrites in mgcx_url_rewrite for all 1,000 V21 products — both direct ( {url_key}.html ) and category-anchored ( autophi-v21-ascension/{url_key}.html ) paths. Two rewrites per product, 2,000 total.
raise_aio.py Updates the All-in-One portfolio product (entity_id 32513): raises price to $10T, injects V21 Ascension section into description, updates short description to include V21 in the 3,999-IC total (V18 + V19 + V20 + V21), and flushes page cache.
update_aio.py Discovery script to find the All-in-One / portfolio / master-key product by searching for AIO/ALL/complete/portfolio/master keywords and high-value products (>$1T).
verify_downloads.py Verification script — checks all 10 tiers for product count, download links, stock status, gallery entries, and ZIP file existence on server. Outputs tabular report per tier plus totals, including a sample download link path check.
check_images.py Discovery script — lists pastel illustrations on server, queries image assignments per generation (APV18/19/20/21), and checks for AutoPhi/V21-specific image files.
check_picker_chips.py Reads lines 138–220 of performance-picker.html and greps for GEN/FAM/APV21 references to verify filter chip wiring.
check_urls.py Checks URL keys and URL rewrites for V21 products in the database — first 5 URL keys, first 5 rewrites, total rewrite count.
fix_flopsmax.py Targeted fix: changes flopsMax from 1e26 to 1e28 in performance-picker.html.
fix_flopsmax2.py Backup fix for flopsMax — same as fix_flopsmax.py, verifies after application.
fix_gallery.py Diagnostic script — checks V20 media gallery structure (value_id, attribute_id, media_type), inspects gallery value records, identifies the media_gallery attribute_id, and counts V21 products with gallery entries.
flush_img_cache.py Runs catalog:images:resize and cache:flush on server, verifies that v21-ascension.gif exists at the expected path.
v21_manifest.json 5.16 MB Complete manifest of all 1,000 products: SKU, name, description HTML, short description, price, url_key, meta_title, node, FLOPS, qubits, power, fidelity, generation code, family code
v21_chart_entries.json 319 KB Performance picker chart data for all 1,000 SKUs: sku, name, url, price, flops, flops_h, qubits, node, gen, fam, power_w, gate_fid
v21-rtl-20260831.zip 4.97 KB Compressed archive of the RTL source files
v21-parts/ 1,000 SKU folders (APV21-BDR-0001-130NM through APV21-ASN-0100-1.5NM), each containing spec.json + DATASHEET.md + SALES_BRIEF.md + README.md + FOUNDRY_HANDOFF.md = 5,000 files total
v21-zips/ 1,000 ZIP archives, one per SKU, containing the part folder contents. Deployed to server at /var/www/html/store/pub/media/downloadable/files/links/sku/
rtl/ 6 Verilog source files + manifest.json = 7 files. Top-level module plus five sub-modules.
tier-images/ 10 GIF images (600×600 px each): v21-bedrock.gif through v21-ascension.gif. Deployed to /pastel-illustrations/ on server.
__pycache__/ Python bytecode cache for sku_config module
Deliverable RTL source — buyer renders GDSII on their target process node. Never free, never naked.
Generational Law Per-unit-of-capability price below V20 Epiphany
Price Range $500 (Bedrock seed, config #1) to $5,000,000,000,000 ($5T, Ascension full build, config #1000)
Restrictions No PRC/RU entities. US export law. US companies only. USD only.
Defined & measured: voxel grid geometry, layer count, die area, process node, phantom mode count, tier structure, SKU naming, and per-part specification fields are defined parameters of the V21 Ascension architecture.
Architectural aim: FLOPS figures, memory bandwidth, and power numbers are performance targets of the full 11-technology stack — including the quantum battery energy-recovery loop, LED photon recycling at 92%, EM cooling at 98%, and QBeam at 400 GB/s — operating at rated clock on AES substrate. Design intent, not bare-silicon measurement.
What Is in the Package
The delivered package contains the complete V21 Ascension project: 21 Python source files (sku_config.py, build_1000_parts.py, generate_v21_rtl.py, wire_v21_store.py, rebuild_and_rewire.py, update_picker.py, patch_picker_axes.py, gen_tier_images.py, upload_and_wire_images.py, create_gallery.py, gen_url_rewrites.py, raise_aio.py, update_aio.py, verify_downloads.py, check_images.py, check_picker_chips.py, check_urls.py, fix_flopsmax.py, fix_flopsmax2.py, fix_gallery.py, flush_img_cache.py); 6 Verilog RTL source files plus manifest.json in rtl/ ; 1,000 SKU part folders with 5,000 specification/datasheet/sales/foundry files in v21-parts/ ; 1,000 ZIP archives in v21-zips/ ; 10 tier images in tier-images/ ; 2 JSON data files (v21_manifest.json at 5.16 MB, v21_chart_entries.json at 319 KB); and 1 RTL archive (v21-rtl-20260831.zip at 4.97 KB). Total: 6,041 files across the project tree.
Shipped on a single Blu-ray disc. AES-256 encrypted. Sent by tracked post.
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Footnotes
- Product number 8535.
- Family: none.
- Purchase: When you buy, you buy the use of that blueprint only.