Category Direction - AI Abstraction Layer

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5. Category Direction - AI Abstraction Layer

On this page

• Overview
• Goals
• Extensibility
• Documentation

Stage	AI-powered
Group	AI Framework
Maturity	viable
Content Last Reviewed	2024-10-05

Overview

The AI Abstraction Layer category is focused on build the AI Architecture within GitLab's enterprise infrastructure.

Goals

The AI Abstraction Layer aims to:

1. Standardize and abstract common needs including performance, cost monitoring, health status, access controls, telemetry, interfaces, developer tools, and APIs.
2. Scale, maintain, support production support for the AI/ML technologies abstracted behind the AI Architecture.
3. Build initial engineering implementations of AI/ML technologies abstracted behind the AI Architecture.
4. Support for all GitLab distributions: GitLab.com, Dedicated and self-hosted customers.

Extensibility

The tooling and AI Architecture the AI Abstraction Layer supports will enable extensibility of AI/ML technologies for users of GitLab including the wider open source community. While we will prioritize needs within GitLab, we aim to make it easier to integrate other new AI/ML technologies with GitLab in a structured and scalable way. We encourage and welcome community contributions extending the AI Abstraction Layer and AI Architecture.

Documentation

• Architecture Blueprint
• Building AI Features with AI Framework

Last Reviewed: 2024-10-05
Last Updated: 2024-10-05