Everything you need to ship
A full GPU platform — scheduler, metering, and instant access built in.
Launch in seconds
Our scheduler places your instance on the best available node and boots a ready-to-use container.
SSH & JupyterLab
Every instance ships with root SSH access and a one-click JupyterLab link. Docker runtime included.
Per-second metering
A real billing engine meters runtime continuously and deducts from your wallet — never overpay.
Auto-stop protection
Instances stop automatically when your balance runs out, so you never go negative.
Multi-node scheduling
Add GPU servers that self-register via API. Load is balanced across the whole fleet.
4090 → H100
From cost-efficient RTX 4090s to H100 SXM for the largest training runs.
From zero to GPU in three steps
- 1Add credit to your walletStart with $20 free. Top up any time from the billing dashboard.
- 2Pick a GPU and launchChoose 4090, A100 or H100. The scheduler assigns a node and provisions your container.
- 3Connect and trainCopy your SSH command or open JupyterLab. Billing runs only while the instance is up.
$ ssh root@103.39.67.73 -p 41022 Welcome to your GPU Cloud instance 🚀 root@h100:~# nvidia-smi +--------------------------------------+ | NVIDIA H100 80GB Driver 550.x | | GPU-Util 0% Mem 0 / 80GB | +--------------------------------------+ root@h100:~# python train.py epoch 1/10 loss 1.84 ✓
Ready to train faster?
Create an account and launch your first GPU instance in under a minute.