GPU instances
Long-lived GPU instances for developers building AI
~ zsh
$ tnr create --gpu a100
✓ Instance 0 created
$ tnr connect 0
✓ Connected to instance 0
ubuntu@instance-0:~$ nvidia-smi -L
GPU 0: NVIDIA A100 80GB PCIe
The agent-first GPU cloud
GPU instances for developers. Full Ubuntu sandboxes for agents running ML experiments, CUDA code, and other GPU workloads.
Products
Instances for developers, GPU sandboxes for agents
Instances for hands-on development and sandboxes for RL environments and evals at scale
GPU sandboxes
Sandboxes for RL tasks, evals, and CI jobs that need a GPU in isolated Ubuntu VMs.
agent.py
import thunder_sandbox as thunder
sandbox = thunder.Sandbox.create(
cpu=4, memory=32, storage=50,
gpu_type=thunder.GPUType.H100, gpu_count=1,
timeout=900)
sandbox.wait_until_ready()
process = sandbox.exec("nvidia-smi")
Pricing
Stop wasting runway on GPUs
Cost effective GPU sandboxes billed per second for the exact length of your rollouts.
price per
Loved by developers
“Can’t get enough of this UX.”
“We are saving so much on GPU Sandboxes.”
Real quotes from ML engineers and RL researchers building on Thunder Compute
Research
From the lab
Research and engineering from the team building Thunder Compute.
Start building today
Pick the form factor that suits your workload
GPU instances
Long-lived GPU servers for developers
GPU sandboxes
Scalable GPU-enabled microVMs for RL environments, evals, and CI/CD