Just launch. Start training.
Less setup,
more research.
Skip the environment hassle. Spin up a pre-configured GPU in seconds and get straight to the work that matters.
No drivers. No waiting. Just compute.
Why neurostack
Everything ready, the moment you need it.
Ready in seconds
No procurement, no provisioning queues. Launch a GPU and start in seconds, not weeks.
Pre-configured environments
PyTorch, TensorFlow and CUDA already set up. Skip the driver and dependency hell.
Pay for what you use
Transparent usage-based billing. No idle hardware, no surprise egress fees.
Scale when you need
Go from a single notebook to large training runs without re-architecting anything.
How it works
Three steps to your first run.
Pick an image
Choose a pre-built ML image with your framework ready to go.
Launch a GPU
Select your resources and spin up a GPU server in seconds.
Start working
Your environment opens, ready for training and experiments.
Hardware
Powered by the latest GPUs.
Run your workloads on NVIDIA B200 — frontier-class compute, on demand.
Pricing
Pay only for what you run.
Usage-based pricing with no upfront commitment. See current rates in the console.
See pricing in console →