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HPC Data

Provides a hydro‑powered high‑performance computing platform for AI workloads, offering bare‑metal GPU/TPU colocation, managed auto‑scaling cloud services, and pre‑configured AI factories. The infrastructure delivers low‑latency, high‑bandwidth networking with carbon‑neutral power and compliance‑grade security, accessible via REST/gRPC APIs and a real‑time telemetry portal. Designed for research labs, data‑intensive startups, and enterprise AI teams requiring scalable, sustainable compute.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises and research teams running AI workloads face high operational costs, limited scalability, and significant carbon footprints due to reliance on conventional, fossil‑fuel‑powered data centers. These constraints hinder rapid model training, inference at scale, and sustainable growth.

Solution

The company delivers a hydro‑powered high‑performance computing platform tailored for AI. By colocating GPU and TPU clusters in renewable‑energy data centers, it offers secure, low‑latency infrastructure that scales on demand. Clients can choose bare‑metal AI colocation, fully managed AI cloud services, or turnkey AI factories pre‑configured for common frameworks. All resources are provisioned through an API‑driven portal with automated billing, real‑time monitoring, and end‑to‑end encryption, enabling users to focus on model development rather than hardware management.

Target Audience

Primary customers are AI research labs, data‑intensive startups, and enterprise teams that require large‑scale training or inference capacity with strict security and sustainability requirements.

Features

  • Hydro‑driven data centers providing up to 80 % lower PUE and carbon‑neutral power for GPU/TPU workloads
  • Bare‑metal AI colocation with high‑bandwidth InfiniBand networking and NVMe storage tiers
  • Managed AI cloud offering auto‑scaling orchestration, containerized environments, and integrated MLops pipelines
  • AI factories: pre‑built, GPU/TPU‑optimized stacks for TensorFlow, PyTorch, JAX, and robotics simulations
  • Role‑based access control, TLS encryption, and isolated tenant networking for compliance‑grade security
  • RESTful and gRPC APIs for provisioning, monitoring, and billing integration with existing CI/CD tools
  • Real‑time telemetry dashboard with utilization metrics, predictive capacity planning, and alerting
  • Global footprint of data centers positioned near major hydroelectric resources to ensure low‑cost, reliable electricity
This profile is AI-generated and may contain inaccuracies.