Built for GPU-Intensive Infrastructure
HexaGrid integrates live wholesale electricity markets, neural forecasting, reinforcement learning, and quantum-ready optimization into a unified control layer designed for AI data centers and multi-site compute environments. Powered by the QLLMe™ hybrid optimization engine.
Three-Tier Modular Architecture
Each tier of HexaGrid is independently deployable and communicates exclusively over a versioned REST API. This enables horizontal scaling of any individual component without disrupting the platform.
The backend consists of ten independent Python modules, each owning its own data persistence layer. All modules are exposed through a unified FastAPI application on port 8000 with auto-generated OpenAPI documentation. The dashboard is a single static HTML file — zero build dependencies, deployable anywhere.
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How HexaGrid Is Built
Modular, Not Monolithic
Every pillar is an independent Python module with its own data persistence and API surface. Components can be deployed, updated, or replaced in isolation without disrupting the rest of the platform.
Live Data, Not Stale Models
HexaGrid maintains live connections to EIA and Electricity Maps at all times. Every dispatch decision is made on current market state — not monthly averages, estimates, or historical proxies.
Quantum-Ready by Design
The QAOA scheduler runs on Cirq's hardware abstraction layer. The same circuit architecture migrates to real QPU backends as quantum hardware matures — with zero code changes required.
Full Operator Transparency
Every routing decision, RL action, and hardware alert is logged and visible in the dashboard. Operators see the reasoning behind every recommendation and retain full override capability.
Zero Build Dependencies
The dashboard is a single static HTML file. No webpack, no Node, no build pipeline. It serves from nginx, an S3 bucket, or a local Python server in seconds.
Continuous Adaptation
The PPO agent and IsolationForest models retrain on live data. HexaGrid does not degrade over time — it improves as market patterns and hardware behavior accumulate in its training corpus.
What HexaGrid Runs On
| Component | Technology | Purpose | Version |
|---|---|---|---|
| Digital Twin | SimPy discrete-event simulation | GPU rack power flow, PUE modeling, thermal dynamics | 4.1+ |
| LSTM Forecaster | TensorFlow LSTM | 120-minute grid price prediction, real-time inference | TF 2.13+ |
| QAOA Scheduler | Cirq + TensorFlow Quantum | Quantum-classical hybrid job scheduling optimization | Cirq 1.2+ |
| RL Dispatch Agent | Stable Baselines 3 PPO | Adaptive workload deferral, 200k training steps | SB3 2.0+ |
| API Platform | FastAPI + Uvicorn | Versioned REST, OpenAPI /docs, CORS, structured logging | 0.104+ / 0.24+ |
| Carbon Layer | Electricity Maps API | Live gCO₂eq/kWh per ISO, Pareto cost–carbon analysis | v3 |
| Fleet Orchestrator | Python + SQLite | Multi-site composite scoring, routing history, 4 strategies | Python 3.11+ |
| GPU Monitor | pynvml + scikit-learn | NVML telemetry, IsolationForest anomaly detection, health scoring | 11.5+ / 1.3+ |
| GPU Acceleration | CUDA + NVIDIA Driver | TF training, RL optimization, quantum circuit simulation | CUDA 12.x / 525+ |
Quantum Clarity LLC
HexaGrid is built by Quantum Clarity LLC, a deep-technology firm developing quantum-enhanced optimization systems for AI infrastructure and enterprise compute environments.
The platform emerged from applied research at the intersection of quantum computing, reinforcement learning, and real-time energy systems. Every component has been validated on live hardware with real market data — not simulated environments or theoretical benchmarks.
Quantum Clarity also develops the QLLMe™ optimization engine and QuantaCore™ modular quantum computing platform — two complementary technologies that underpin HexaGrid's long-term technical roadmap.
QLLMe™ Hybrid Optimization Engine
Proprietary engine combining QAOA quantum circuits, PPO reinforcement learning, and classical multi-objective optimization in a unified dispatch pipeline. Core IP of the HexaGrid platform.
QuantaCore™ Quantum Platform
Modular quantum computing platform validated at 116 qubits with 85.7% average fidelity. Provides the hardware pathway for HexaGrid's QAOA scheduler as QPU backends mature.
Validated on Production Hardware
All platform benchmarks produced on real NVIDIA GPU hardware with live EIA and Electricity Maps data feeds. Fully operational at v1.0.0 — not a prototype.
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