HexaGrid™
AI-Native Infrastructure
Control Plane
Maintain infrastructure continuity under grid volatility. Autonomously orchestrate GPU workloads across regions while optimizing cost and carbon in real time.
For AI data centers and GPU-intensive compute environments operating across volatile energy markets.
elastic AI workload scenarios
forecast horizon
live real-time data
pillars unified
The HexaGrid Platform
Seven interconnected layers forming an AI-native infrastructure control and continuity architecture.
Grid Intelligence
Live wholesale electricity price ingestion across five ISO regions. Converts grid volatility into an autonomous orchestration signal, not noise.
Predictive Forecasting
LSTM neural networks predict price movement 120 minutes ahead. Enables proactive workload scheduling, not reactive dispatch.
Hybrid Optimization Core
The QLLMe™ engine combines reinforcement learning, classical optimization, and quantum-ready QAOA scheduling for multi-objective trade-offs — within a unified control architecture.
Adaptive Dispatch
PPO reinforcement learning agents execute resilience-aware scheduling decisions continuously, compounding savings as they adapt to real market conditions.
Carbon Intelligence
Live carbon intensity from Electricity Maps. Balances cost and Scope 2 emissions dynamically — carbon-first routing reduces footprint by up to 50%.
Hardware Feedback Loop
NVML telemetry and anomaly detection ensure thermal and VRAM health feed into every autonomous orchestration decision. Protects the compute it controls.
Infrastructure Continuity
Weather-aware risk modeling, UPS runway analysis, and generator sustainment validation integrated directly into workload orchestration. Continuity is not an afterthought — it is a scheduling input.
Results From a Running System
HexaGrid is fully operational at v1.0.0. These figures reflect measurements on real GPU infrastructure with live EIA and Electricity Maps data feeds — not projections.
20–40% cost reduction in elastic scheduling scenarios. Higher reductions possible under high-volatility grid conditions.
Up to 50% carbon reduction via carbon-first region-aware routing strategies
120-minute predictive horizon for deferral decisions — sufficient lead time for any flexible workload
~40% cost saving versus naive static dispatch in multi-region fleet routing
Results vary by workload flexibility and infrastructure configuration. Benchmarks across CAISO, ERCOT, NYISO, ISONE, and PJM ISO regions.
RL dispatch vs static scheduling
carbon-first routing
LSTM model
simultaneous feeds
Deploy HexaGrid in Your Environment
HexaGrid integrates with existing GPU clusters without infrastructure redesign. We work with your engineering team to configure regional coverage, routing strategies, and monitoring integration.