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Ray CLI

RAPR CLI connectorAI, ML & Model Ops

Manage Ray clusters, jobs, services, and distributed AI workloads.

By Anyscale/Rayv1.0.0Package license: MITFree package; provider account or API usage may be required.

Ray CLI package details

raydistributedai-infraclustersjobs

RAPR CLI connector scope

This is RAPR-authored connector guidance for a command-line tool the user installs locally. The upstream CLI remains governed by its own license and terms. This package contains RAPR-authored CLI usage guidance, install commands, and agent instructions. It does not bundle the upstream CLI binary. Users can also go directly to the public upstream source linked on this page.

How to get started

Install RAPR AI

Download and install RAPR AI on your computer

Find in Marketplace

Open RAPR AI, go to Packages, and browse the marketplace

Install from Marketplace

Click Install. RAPR sets up the wrapper package, connector guidance, or skill instructions for this listing.

Authenticate

Configure cluster/cloud credentials as needed

Post-install: authenticate to start using
Configure cluster/cloud credentials as needed
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Ray CLI

Manage Ray clusters, jobs, services, and distributed AI workloads.

Official source: https://docs.ray.io/en/latest/ray-core/api/cli.html

Install with pip install -U ray. Verify with ray --version.

Ready to try Ray CLI?

Download RAPR AI and connect Ray CLI in seconds.

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