GPU Compute.
Pay as You Go.

A managed GPU compute platform with full root access, CUDA, and a pre-installed ML stack.

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GPU Plans Coming Soon

We're preparing affordable, pay-as-you-go GPU compute plans.
Billed by the second. No commitments.

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Stay Tuned

GPU plans with NVIDIA A100s, full root access, and a pre-installed ML stack are on the way. Sign up for updates below.

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Two Commands. That's It.

Connect to a GPU and start training — no setup, no config files, no waiting.

Connect to your GPU
connect-gpu
Open JupyterLab — it's already running
http://localhost:8888

JupyterLab starts automatically. Just click the link — no tokens, no setup.

— or —
Run scripts directly from the terminal
python train.py

Full terminal with CUDA, PyTorch, and your ML stack ready to go.

Done? Run disconnect-gpu to immediately stop billing.

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No Idle Waste

You only pay while you're connected. Disconnect anytime — billing stops instantly.

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One Command to Connect

Run connect-gpu and you're in your machine with JupyterLab running. That's it.

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Dedicated Environment

Each user gets an isolated GPU compute environment with their own workspace and full root access.

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Pre-installed Stack

PyTorch, TensorFlow, CUDA, cuDNN, Jupyter — ready to use out of the box.