The AI Infrastructure Lifecycle Platform

Charg is built to extend the life of enterprise grade supercomputing infrastructure and transform it into scalable, cost efficient AI and HPC cloud environments. Rather than build, depreciate, and discard, we redeploy proven hyperscaler class systems into high performance compute platforms that evolve across GPU generations.

Get supercomputing power without hyperscaler strings with the Charg HPC Cloud. From a single GPU to a full 60+ PFLOPS cluster, our supercomputer is available to the public today.

Charg is an independent, HPC GPU cloud provider built for teams needing reliable speed, service and support. We redeploy advanced CRAY supercomputers, making HPC more accessible without the burden of owning or managing your own systems. Charg Cloud delivers a cost-effective, powerful and scalable platform for next-generation AI, scientific research, and engineering workloads – all while building a circular economy and minimizing e-waste.

  • 60+ PFLOPS (FP64 peak) performance with 60 racks of clustered NVIDIA V100s, equivalent to thousands of H100 Hopper-class GPUs.
  • 200gbe InfiniBand networking included by default.
  • Backed by petabytes of high density all flash CEPH storage.

 

 

Sustainable & Circular Technology

  • We give new life to mature technology by redeploying decommissioned AI infrastructure.
  • Our approach actively minimizes e-waste, contributing to a cleaner planet.
  • We champion a circular economy by extending the lifecycle of powerful hardware.

Accessible HPC Cloud Services

  • Get the HPC power you need, when you need it, without the immense capital investment.
  • Our platform is API-driven, highly scalable, and integrates seamlessly with your workflows.
  • Supercomputing capacity available on-demand – without the strings of hyperscalers.

Mature NVIDIA DGX Architecture

  • Proven, enterprise-grade architecture based on NVIDIA DGX and CRAY supercomputers.
  • Purpose-built, stable systems engineered for high-performance AI, research, and engineering.
  • Includes InfiniBand and CEPH storage for low-latency, high-throughput performance.

Built for AI, Science and Engineering

  • Ideal for next-generation AI workloads, including model training and scaled inference.
  • Supports intensive scientific computing and data-intensive advanced research.
  • A powerful solution for complex engineering workloads.

The AI Infrastructure Lifecycle Platform

  • Redeploying proven enterprise systems into high-performance cloud environments.
  • We operate scalable supercomputing without constant rebuild cycles.
  • Upgrade intelligently across GPU generations for sustained performance.

Enterprise Economics for AI at Scale

  • Deliver large-scale compute with controlled cost structures.
  • Extend infrastructure value across GPU generations.
  • Enable predictable long-term capacity planning.

Charg Stacks™ – Specialized for Science, Engineering and Research

At Charg Cloud, we don’t just provide bare metal infrastructure services – we simplify access to HPC. Our experts work directly with you to deploy pre-configured Charg Stacks optimized for research-grade environments. This eliminates complexity and accelerates time-to-insight for scientists, engineers and AI developers.

  • AI/ML Frameworks: Pre-configured environments with TensorFlow, PyTorch, and more to accelerate training and inference.
  • Scientific Computing: Containerized solutions for simulations, data analysis, and research tailored to your field.
  • Engineering Workloads: Optimized stacks for computationally heavy tasks – from finite element analysis (FEA) to computational fluid dynamics (CFD).

Talk to an Engineer Today

Share your dataset size and target model. We’ll respond within one business day with a right‑sized plan, expected runtime and cost estimate.