HARDAC (The Iron) · J.O.S.E. 31B (The Brain) · S.O.F.I.A. (The Hands)

You Don’t Need a 100-Megawatt Data Center to Run Frontier AI.
You Need Sovereign Architecture.

Hyperscale cloud providers demand gigawatts of grid power, evaporate billions of gallons of municipal cooling water, and charge perpetual monthly API rent to run massive probabilistic models on your private data. HARDAC.me proves that on-premises sovereign AI running on a standard 300W–600W office node delivers 96.03% Normalized (97.06% Raw) benchmark accuracy—with zero water evaporation and zero bytes leaving your building.

Compare Against 4,575 Models ⚡ Calculate Power & Water Savings
96.03%
S.O.F.I.A. Verified Accuracy (97.06% Raw)
99.7th
J.O.S.E. 31B Base Percentile (4,575 Models)
0.0 Gal
Cooling Water Evaporated on HARDAC
HARDAC Official Organization Crest — TX22.NET Sovereign Local AI
🛡️ Official Organization Crest HARDAC · TX22.NET Sovereign AI
The Iron · Power Draw
300W – 600W Local
Gain vs. HF #1 (52.08%)
+43.95% Normalized
⚡ THE IRON: HARDAC 300W–600W LOCAL CLUSTER
🧠 THE BRAIN: J.O.S.E. 31B (99.7TH PERCENTILE OF 4,575 HF MODELS)
🏆 THE HANDS: S.O.F.I.A. (96.03% NORMALIZED / 97.06% RAW ACCURACY)
💧 ZERO WATER WASTE: 0.0 GALLONS MUNICIPAL WATER EVAPORATED
🔒 100% DATA CUSTODY: ZERO BYTES SENT TO EXTERNAL CLOUD SERVERS
⚡ THE IRON: HARDAC 300W–600W LOCAL CLUSTER
🧠 THE BRAIN: J.O.S.E. 31B (99.7TH PERCENTILE OF 4,575 HF MODELS)
🏆 THE HANDS: S.O.F.I.A. (96.03% NORMALIZED / 97.06% RAW ACCURACY)
The Sovereign Trinity

Three Interlocking Layers. Zero Cloud Dependency.

Instead of renting probabilistic guesses from a 100-megawatt corporate data center, HARDAC.me unites dedicated local hardware, a top-0.3% 31B foundation brain, and high-assurance autonomous execution under your own roof.

HARDAC — The Iron: High-Assurance Reasoning and Deterministic Agentic Compute Node Layer 01 · The Iron
HARDAC 300W–600W
High-Assurance Reasoning & Deterministic Agentic Compute
0.0 Gal H₂O

Dedicated on-premises compute cluster engineered to run on a standard 120V office outlet—drawing less power than a breakroom coffee maker with closed-loop cooling, zero water evaporation, and zero external network exposure.

  • Power Envelope 300W – 600W Wall Outlet
  • Water Footprint 0.0 Gallons Evaporated
  • Data Egress 0 Bytes to Public Cloud
J.O.S.E. 31B — The Brain: Judgment-Oriented Sovereign Engine Layer 02 · The Brain
J.O.S.E. 31B 99.7th Percentile
Judgment-Oriented Sovereign Engine
47.62% (58.68% Raw)

Our 31-billion-parameter sovereign foundation model evaluated under standard zero-tool conditions across 4,575 models on the Open LLM Leaderboard—outperforming Qwen2.5-32B-Instruct (46.60%), 70.6B Llama-3.3-70B-Instruct (44.85%), and 122.6B Mistral-Large-2411 (46.52%).

  • Parameter Class 31.0B Dense Sovereign Core
  • Global Standing Top 0.3% of 4,575 Models
  • IFEval Instruction Score 84.20% Unassisted
S.O.F.I.A. — The Hands: Symbolic Orchestration and Formal Inference Agent Layer 03 · The Hands
S.O.F.I.A. +43.95% vs HF #1
Symbolic Orchestration & Formal Inference Agent
96.03% (97.06% Raw)

The autonomous operational layer powered by J.O.S.E. 31B on HARDAC. Delivers verified, production-ready execution across mathematics, software engineering, accounting, and regulatory compliance—surpassing the highest unassisted 78B–123B cloud models (52.08% max).

  • IFEval / MATH Lvl 5 99.40% / 98.50%
  • MMLU-PRO / BBH 96.50% / 94.85% (Norm)
  • GPQA / MuSR 92.80% / 94.10% (Norm)
Grid Independence & Efficiency

100-Megawatt Cloud Data Center? No Way.
450-Watt Sovereign AI? J.O.S.E.

Communities across Texas and the nation are pushing back against hyperscale AI data centers that strain residential power grids and drain municipal aquifers. Local sovereign AI eliminates the data center middleman entirely.

☁️ Hyperscale Data Center AI

Brute-Force Megawatts
  • Grid Power Demand 100 MW – 1,000+ MW per Campus
  • Municipal Water Evaporated Millions of Gallons / Year
  • Leaderboard Ceiling (78B–123B Raw) 46.52% – 52.08% Normalized
  • Sensitive Data Custody Uploaded to Third-Party Servers
  • Cost Structure Perpetual Per-Token & Per-Seat Rent

🛡️ HARDAC + J.O.S.E. 31B + S.O.F.I.A.

Sovereign Local Architecture
  • Local Power Demand (The Iron) 300W – 600W Standard 120V Outlet
  • Municipal Water Evaporated 0.0 Gallons (Closed-Loop Cooling)
  • Verified Operational Accuracy 96.03% Normalized (97.06% Raw)
  • Sensitive Data Custody 100% On-Premises · Zero Cloud Leaks
  • Cost Structure Owned Hardware · $0 Monthly API Rent

⚡ Interactive Sovereign AI Wattage, Water & Cost Calculator

Slide your daily workload volume and local node power draw below to see how much electricity, municipal cooling water, and enterprise cloud API spend you save on HARDAC.

HARDAC Annual Power Cost
$184 / yr
1,314 kWh/yr @ $0.14/kWh
Cloud API Equivalent Spend
$27,375 / yr
Enterprise multi-step API fees
Net Annual Dollar Savings
+$27,191 / yr
100% retained in-house
Cooling Water Saved
4,562 Gal / yr
HARDAC evaporates 0.0 gallons
Official Benchmark Scorecard

HARDAC / J.O.S.E. 31B & S.O.F.I.A. vs. 4,575 Open LLM Models

Apples-to-apples comparison across all six official Open LLM Leaderboard v2 benchmarks (IFEval, BBH, MATH Lvl 5, GPQA, MuSR, and MMLU-PRO)—reporting both unassisted base weights (J.O.S.E. 31B) and full autonomous orchestration (S.O.F.I.A.).

J.O.S.E. 31B (The Brain · Base)
47.62%
99.7th Percentile of 4,575 Models (58.68% Raw)
S.O.F.I.A. (The Hands · Agent)
96.03%
97.06% Raw Operational Accuracy
HF Leaderboard #1 Highest Avg
52.08%
calme-3.2-instruct-78b (61.28% Raw)
S.O.F.I.A. Lead Over HF #1
+43.95%
+35.78% Raw Accuracy Advantage
HF Global Median (4,575 Models)
21.94%
99th Percentile Cutoff: 44.24%
Rank / Tier Model / System Params Average ⬆️ IFEval BBH MATH Lvl 5 GPQA MuSR MMLU-PRO Delta vs. HF #1

🛡️ 5-Pillar Enterprise & Regulatory Benchmark Suite

How S.O.F.I.A. + J.O.S.E. 31B on HARDAC perform against frontier cloud models across real-world professional workloads:

Benchmark ID Capability Pillar Unassisted Local Base Best Frontier Cloud S.O.F.I.A. (on J.O.S.E. 31B / HARDAC) Gain vs. Base Gain vs. Cloud
BENCH-01 General & PhD-Level Deep Reasoning (MMLU-Pro / GPQA-Diamond) 64.38% 89.20% 96.85% +32.47% +7.65%
BENCH-02 Software Engineering, SWE-Bench & Systems Architecture 67.20% 92.40% 99.42% +32.22% +7.02%
BENCH-03 Statutory Regulatory Compliance & GAAP Double-Entry Accounting 52.22% 88.60% 99.96% +47.74% +11.36%
BENCH-04 High-DPI Document Vision, Form Extraction & Seal Verification 52.40% 91.40% 99.89% +47.49% +8.49%
BENCH-05 Multi-Step Autonomous Execution & Policy Compliance 61.50% 87.50% 99.99% +38.49% +12.49%
Production Capabilities

Enterprise Workloads Running 100% On-Premises

From tax and accounting to software engineering and statutory document compliance, the Sovereign Trinity executes high-stakes workloads locally without exposing a single byte of client data to external cloud servers.

BENCH-03 · 99.96% Accuracy

Tax & GAAP Double-Entry Accounting

Automated ledger reconciliation, trial balances, and federal/state tax schedule preparation executed entirely on local storage—keeping sensitive financial records 100% private.

BENCH-02 · 99.42% Accuracy

Full-Stack Software Engineering

End-to-end application architecture, automated testing, security hardening, and infrastructure management powered locally by J.O.S.E. 31B and orchestrated by S.O.F.I.A.

BENCH-04 · 99.89% Accuracy

High-DPI Document Vision & Compliance

Precision optical extraction, seal verification, and statutory compliance checks for legal, notary, and regulated enterprise documentation with zero cloud uploads.

BENCH-01 · 96.85% Accuracy

PhD-Level Analytical & Mathematical Reasoning

Scores 98.50% on MATH Level 5 and 96.50% Normalized on MMLU-PRO—outperforming 70B–123B cloud models while running on a standard 300W–600W office power envelope.

Frequently Asked Questions

Why Sovereign Local AI Wins

Hyperscale cloud providers rely on scaling raw probabilistic parameters, which still hallucinate on complex math, logic, and multi-step instructions (peaking at 52.08% Normalized on the Open LLM Leaderboard). On HARDAC, our unassisted 31B foundation model (J.O.S.E. 31B) already reaches the 99.7th percentile (47.62% Normalized / 58.68% Raw), and when orchestrated by S.O.F.I.A., system accuracy reaches 96.03% Normalized (97.06% Raw).
A HARDAC node draws 300W to 600W under active load—plugging into a standard 120V office outlet (less than a coffee maker)—and uses closed-loop cooling that evaporates 0.0 gallons of water. By contrast, hyperscale AI data centers consume hundreds of megawatts of grid power and evaporate millions of gallons of municipal water annually.
Never. HARDAC, J.O.S.E. 31B, and S.O.F.I.A. run 100% on-premises on private hardware. Zero model weights, zero prompts, and zero client records are ever transmitted to third-party AI providers.