Strata operates a distributed cloud network of modular 40 ft compute units located in energy‑advantaged regions, delivering bare‑metal GPU and CPU resources with >10 kW per rack through a unified API. The platform lets AI/ML, HPC, blockchain, and edge‑compute users place workloads by latency, cost, or energy source, while providing real‑time observability, metering, and automated billing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise workloads such as large‑scale AI training, high‑performance computing, and blockchain validation are increasingly constrained by power availability, grid interconnection delays, and the physical limits of hyperscale data‑center campuses. These bottlenecks raise operational costs and extend time‑to‑deployment for compute‑intensive applications.
Solution
Strata operates a distributed cloud network that locates high‑density compute clusters in energy‑advantaged regions—areas with abundant geothermal, hydro, or stranded gas power and existing fiber routes. By shipping pre‑configured 40 ft modular units that deliver 10 kW+ per rack, Strata can provision bare‑metal GPU and CPU resources within weeks rather than years. The platform exposes each zone as a cloud region via a unified API, allowing developers to place workloads based on latency, price, or energy profile through policy‑driven placement rules. Integrated observability, metering, and access‑control services provide real‑time usage data and automated billing. This architecture enables customers to run AI training, inference, HPC simulations, blockchain nodes, and edge compute jobs on stable, low‑cost power while retaining the flexibility to scale or relocate capacity as market conditions evolve.
Target Audience
The primary customers are AI/ML engineering teams, HPC research groups, blockchain operators, and edge‑compute developers who require high‑density GPU resources with predictable power costs and low latency access.
Features
- Modular 40 ft units with 16 racks each, delivering >10 kW per rack and optimized for GPU‑dense workloads
- Bare‑metal and GPU provisioning through a RESTful API that presents each zone as a standard cloud region
- Policy‑based workload placement engine that routes jobs by latency, cost, or energy source preferences
- Energy‑aware siting on geothermal basins, hydro corridors, or stranded gas fields with built‑in fiber and Starlink connectivity
- Rapid deployment cycle (weeks) with no extensive permitting or grid interconnection queues
- Built‑in observability stack offering real‑time metering, usage dashboards, and automated billing
- Relocatable infrastructure that can be redeployed to new zones as energy opportunities arise