How to use
DGX Cloud Lepton.

1. 01

   Start at https://build.nvidia.com/lepton and confirm the domain before entering account or payment information.

2. 02

   Availability: DGX Cloud Lepton is a browser-managed cloud platform with the Python leptonai package and lep command-line interface for local development and cloud deployment.

3. 03

   A DGX Cloud Lepton workspace, current leptonai package, scoped workspace credentials, a licensed model and container, secure secrets, representative tests, resource quotas, and deployment ownership.

4. 04

   Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.

5. 05

   Run one low-risk test task before connecting sensitive files, repositories, or workspace data.

• Use official download pages.
• Review permissions during setup.
• Keep installers and applications updated.

1. 01

   Define the service contract, users, model and code licenses, data class, resources, latency, concurrency, scaling, access, secrets, observability, cost, and rollback targets.

2. 02

   Build the smallest Photon or pinned container locally, expose only typed handlers or the required port, and test inputs, outputs, errors, health, and dependency reproducibility.

3. 03

   Push an immutable version, create a private test endpoint with scoped secrets, bounded replicas and resources, and capture logs, events, utilization, latency, failures, and spend under load.

4. 04

   Canary a reviewed endpoint update rather than rerunning production in place, monitor it, preserve the previous version, and verify access revocation, teardown, storage deletion, and stopped billing.

• State the outcome before the background.
• Provide the real source material.
• Review the result before expanding the task.

1. 01

   Restate the brief, the deliverable format, and where the asset will appear before judging any output.

2. 02

   Inspect at full resolution: generated media hides its errors at thumbnail size.

3. 03

   Check the details these systems reliably get wrong — hands, text, logos, reflections, symmetry, and edge artefacts.

4. 04

   Confirm the licence and commercial-use terms for your plan, and check the output does not reproduce a recognisable style, mark, or likeness you have no right to use.

5. 05

   Review for accessibility and delivery: alt text, contrast, colour profile, file size, and the exact export format.

• Inspect at full resolution before approving anything.
• Confirm commercial-use rights before an asset reaches a client.
• Keep the prompt and settings with the asset so it can be reproduced.

1. 01

   Confirm you hold the rights to every reference image, voice, or clip before uploading it.

2. 02

   Check whether your plan trains on submitted content, and opt out before uploading client work.

3. 03

   Never upload a real person's likeness or voice without their explicit, documented consent.

4. 04

   Review the output for marks, styles, or likenesses you have no licence to reproduce.

5. 05

   Label synthetic media where your client, platform, or jurisdiction requires disclosure.

• Older material may call endpoints deployments and the product Lepton AI; current documentation uses NVIDIA DGX Cloud Lepton. A Photon simplifies packaging but does not remove responsibility for unsafe handlers, arbitrary code, dependency and model licenses, public exposure, secrets, logs, autoscaling, or GPU cost. Pin versions, use private access, isolate secrets, cap resources, and update with rollback.
• Follow your organisation's approved-use policy.
• Never treat fluent output as authorization to act.

• DGX Cloud Lepton CLI start ↗
• Lepton endpoint reference ↗
• Lepton run reference ↗
• LeptonAI framework repository ↗

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