1-Click Clusters
Deploy GPU clusters from 16 to 1,500 GPUs with a single click. Designed for large-scale AI training, distributed computing, and research at scale.
Overview
1-Click Clusters provide self-serve access to large GPU deployments without the complexity of traditional HPC provisioning. Select your cluster size, choose your commitment level, and launch.
Cluster Configurations
NVIDIA B200 Clusters
| Commitment | Price per GPU/hr | Cluster Sizes |
|---|---|---|
| On-demand (week) | $3.79 | 16 - 512 GPUs |
| On-demand (month) | $3.49 | 16 - 1,024 GPUs |
| 1-year reserved | $3.29 | 32 - 1,500 GPUs |
| 3-year reserved | $2.99 | 64 - 1,500 GPUs |
NVIDIA H100 Clusters
| Commitment | Price per GPU/hr | Cluster Sizes |
|---|---|---|
| On-demand (week) | $2.69 | 16 - 512 GPUs |
| On-demand (month) | $2.29 | 16 - 1,024 GPUs |
| 1-year reserved | $1.85 | 32 - 1,500 GPUs |
Features
High-Speed Interconnect
- 400 Gbps per GPU with NVIDIA Quantum-2 InfiniBand
- Non-blocking, full-bisection bandwidth
- Optimized for distributed training frameworks (DeepSpeed, FSDP, Megatron)
S3-Compatible Storage
- Built-in S3-compatible storage adapter
- Store datasets, checkpoints, and model weights
- Accessible from all nodes in the cluster
Real-Time Inference
- Serve models at 10,000+ tokens per second
- Low-latency inference endpoints
- Auto-scaling capabilities
Pre-Configured Software
- CUDA, cuDNN, NCCL pre-installed
- PyTorch, TensorFlow, JAX ready
- Slurm or Kubernetes orchestration included
Use Cases
| Use Case | Recommended Config |
|---|---|
| LLM pre-training (70B+) | 64-512x H100 or B200 |
| Distributed fine-tuning | 16-64x H100 |
| Multi-node inference | 16-32x H100 |
| Research at scale | 32-128x A100 or H100 |
Getting Started
1-Click Clusters are available for qualified accounts. Contact us via X / Twitter to discuss your requirements.