Deploy AI Infrastructure Where Power Already Exists.
Gridpod is Eneridge's modular AI data center platform engineered for fast deployment across enterprise, edge, and distributed AI environments.
Gridpod Advantages
Indoor Gridpod
Compact AI infrastructure designed for installation inside enterprise facilities and existing server environments, operating without a separate HVAC build-out.
Enterprise AI inference & hospitals/healthcare
Corporate campuses & regulated industries
Private AI & low-latency edge computing
Outdoor Gridpod Box
A self-contained, 47 kW outdoor edge unit for locations where a traditional server room is unavailable or where computing capacity needs to sit close to the workload.
Industrial facilities & smart infrastructure
Telecom, transportation & public-sector deployments
Remote facilities & edge AI applications
Outdoor Gridpod Container
GPU and NPU clusters & enterprise AI capacity
Edge data centers, AI startups/developers & industrial AI
AI capacity subscription, customer-financed deployment, or Eneridge-owned AI Data Center operation
A 125–250 kW containerized AI capacity module in 20- or 40-foot configurations, with integrated power distribution, in-row cooling, UPS, smart racks, secured access, raised floor, and access ramp — self-contained outdoor operation without a conventional data-center build.
Gridpod Product Family
Choose the Right Accelerator for the Workload.
AI infrastructure should not be defined by a single GPU vendor. Gridpod is developed around a multi-architecture accelerator strategy, matching infrastructure to specific workload requirements.
Gridpod Accelerator Compatibility Matrix
Select the right Gridpod platform for your AI accelerator.
Legend: Recommended = best fit | Suitable = compatible with engineering review | Conditional = platform-specific electrical/cooling review required | Not Recommended = use Gridpod Container instead.
Compatibility is based on the supplied accelerator analysis for air-cooled DX systems using 208V three-phase power and a 20A branch-circuit baseline. Final configuration should be confirmed against actual rack power, cooling, airflow, and site conditions.
Commercial Models