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1. Create an account

Sign up at the Lyceum Cloud Dashboard and verify a payment card (there’s no charge until you add credits, and you pay only for what you use). An organization is created automatically as your default, every run, VM, and credit lives there until you create or join more orgs. See Billing for how credits work.

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2. Pick how you want to access the platform

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Install the CLI

The CLI is published as the lyceum binary. Install with pip:

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Log in

You’ll be prompted for your email and password. The command exchanges those for a JWT token stored locally.
For long-running scripts and CI, generate an API key instead, see API Keys.

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Run your first job

Run a one-liner on the platform:
Run a Python file with a specific machine type:

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3. Where to next

Launch a run

Submit Python or Docker workloads to GPU machines.

Launch an instance

Provision a dedicated GPU VM with SSH access.

Deploy a model

Stand up a Hugging Face model behind an OpenAI-compatible endpoint.

Upload files

Use your per-user S3 bucket for inputs and outputs.
Need help? Email support@lyceum.technology.