From on-demand H100/H200 instances to rack-scale GB200 NVL72 clusters — built on the latest NVIDIA architectures.
Bare-metal NVIDIA H100 and H200, provisioned on demand with no hypervisor overhead. Hourly billing, 1-hour minimum.
Best for: AI training, enterprise inference, standard ML workloads
Best for: Large-model fine-tuning, high-performance inference
NVL72 systems delivered as full 72-GPU racks or 8-GPU node slices, priced on configuration and commitment.
Best for: Large-scale LLM training, high-throughput inference
Best for: AI reasoning, trillion-parameter MoE inference, frontier training
Best for: AI factories, frontier training, agentic AI at scale
Single-tenant, bare-metal multi-GPU clusters for teams running training jobs at scale.
| Cluster | Configuration | Interconnect | Use Case | Price |
|---|---|---|---|---|
| 8-GPU Node | 8 × H100 / H200 | NVLink + InfiniBand | LLM fine-tuning, enterprise AI, AI startups | Enterprise Quote |
| NVL72 Rack | 72 × Blackwell (GB200) | NVLink 5 · 130 TB/s | Trillion-parameter training, frontier inference | Enterprise Quote |
| SuperCluster | 72 – 1,000+ GPUs | InfiniBand fat-tree | National-scale AI infrastructure | Enterprise Quote |
Select your GPU configuration and networking. We'll assemble and deploy to your specifications.
Tell us what you're training, serving, or rendering — model size, throughput targets, and timeline.
We map your workload to GPU generation, memory, NVLink topology, and storage fabric.
CUDA, PyTorch, TensorFlow, Kubernetes, and Slurm are pre-configured and burned in against benchmarks.
Racked, tested, and handed over in-country — with 24/7 monitoring and local support.