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PaletteAI

Deploy ML/AI apps fast. Provision infrastructure on demand and install a complete ML/AI stack in a few clicks

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PaletteAI mock: ML platforms list

At a glance

What it is

A self‑service platform for ML/AI apps with zero infra hassle

Tell me more
  • Configured and managed by Platform Engineers
  • Curated catalog of ML applications
  • Secure defaults and guardrails
  • Works on bare metal or cloud

What it does

Creates the right infrastructure and deploys the full app stack for you or your end users

Checkout the flow
  • Pick an app from the catalog
  • Provision infrastructure on demand or use existing compute
  • Install ML application

Who it’s for

Builders who want speed, and platform teams who need consistency

Personas
  • Data scientists & AI engineers
  • Platform & SRE teams
  • IT leaders standardizing AI

How it works for a data scientist, ML researcher, or AI engineer

  1. Choose an application from the catalog (e.g., ClearML, Run:AI, others)
  2. Provision infrastructure effortlessly on demand or use existing with the click of a button
  3. Install AI/ML application
  4. Use the deployed AI/ML application or select from other deployed applications
One‑click deployEnd‑user friendlyScales anywhere

What a complete stack may look like

Layered view of an ML application stack running on Kubernetes

PaletteAI installs the right components across the stack and keeps them in sync