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Lablup Backend.AI Meta-package

Project description

PyPI release version Supported Python versions

Backend.AI is a streamlined backend API server that hosts heterogeneous programming languages and popular AI frameworks. It manages the underlying computing resources for multi-tenant computation sessions where such sessions are spawned and executed instantly on demand.

Server-side Components

If you want to run a Backend.AI cluster on your own, you need to install and configure the following server-side components. All server-side components are licensed under LGPLv3 to promote non-proprietary open innovation in the open-source community.

There is no obligation to open your service/system codes if you just run the server-side components as-is (e.g., just run as daemons or import the components without modification in your codes). Please contact us (contact-at-lablup-com) for commercial consulting and more licensing details/options about individual use-cases.

For details about server installation and configuration, please visit our wiki.

Manager with API Gateway

It routes external API requests from front-end services to individual agents. It also monitors and scales the cluster of multiple agents (a few tens to hundreds).

Agent

It manages individual server instances and launches/destroys Docker containers where REPL daemons (kernels) run. Each agent on a new EC2 instance self-registers itself to the instance registry via heartbeats.

Kernels

A set of small ZeroMQ-based REPL daemons in various programming languages and configurations.

Jail

A programmable sandbox implemented using ptrace-based sytem call filtering written in Go.

Hook

A set of libc overrides for resource control and web-based interactive stdin (paired with agents).

Commons

A collection of utility modules commonly shared throughout Backend.AI projects.

Client-side Components

Client SDK Libraries

We offer client SDKs in popular programming languages. These SDKs are freely available with MIT License to ease integration with both commercial and non-commercial software products and services.

Media

The front-end support libraries to handle multi-media outputs (e.g., SVG plots, animated vector graphics)

  • The Python package (lablup) is installed inside kernel containers.

  • To interpret and display media generated by the Python package, you need to load the Javascript part in the front-end.

  • https://github.com/lablup/backend.ai-media

Integrations with IDEs and Editors

Project details


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