Real-time GPU infrastructure
Prices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.
How it works
From sign-up to running GPU workloads in under five minutes.
1
Add credit & get your API key
Start with as little as $5. Grab your API key from the console — no contracts, no sales calls.
2
Search GPUs
Filter by model, VRAM, price, and availability — via console or API.
3
Deploy
Launch instances in seconds. Scale up or down programmatically.
Compare. Launch. Exit. Repeat.
Every GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.
Python SDK & CLI
pip install vastai
One install gives you both the CLI and Python SDK.
The interface agents call to provision infrastructure.
curl -H "Authorization: Bearer $VAST_API_KEY" https://cloud.vast.ai/api/v1/bundles/
One platform. Three ways to deploy.
GPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.
Popular Models, Ready to Deploy
Launch pre-configured templates for the most popular open-source models.
“Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”
How teams build on Vast.ai
See how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.
Start with $5. Scale to 20,000 GPUs.
No humans required.