Breakthroughs on demand
Train, fine-tune, and serve models on 1 to 8 NVIDIA GPU instances
Designed for builders
Launch NVIDIA HGX B200, H100, A100, or GH200 instances in minutes with self-serve, first-come access.
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Launch in minutes
Spin up an instance and get straight to training or inference. No lengthy setup, no driver installs, just NVIDIA GPUs on CDSNA Stack.
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Multi-GPU instances
Choose 8x, 4x, 2x, or 1x GPU instances to fit a wide range of AI workloads, from POC to production.
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Use UI, API, or CLI
Automate with the CDSNA Cloud API to create, stop, and restart instances from your CLI, CI/CD, or orchestration scripts.
GPU instances purpose-built for AI
- Turnkey performance: Full GPU access, zero throttling, and an optimized ML stack with essential tools like PyTorch and CUDA pre-installed via CDSNA Stack.
- Real-time visibility: Monitor GPU, memory, and network performance directly from the dashboard or API to catch bottlenecks before they slow training or inference.
- Easy storage: Keep datasets, checkpoints, and outputs attached between sessions and scale up or down without re-uploading data or incurring egress fees.
Built-in observability
- Catch performance issues before they start. Instant insights into what’s happening inside your workloads with live, minute-by-minute updates.
Fresh NVIDIA HGX B200s
- Get 2× the VRAM and FLOPS of H100 GPUs for up to 3× faster training and 15× faster inference at $4.99.
