Backend.AI Documentation¶
Latest API version: v3.20170615 (beta)
Backend.AI is a hassle-free backend for AI programming and service. It runs arbitrary user codes safely in resource-constrained environments, using Docker and our own sandbox wrapper.
Backend.AI supports various programming languages and runtimes, such as Python 2/3, R, PHP, C/C++, Java, Javascript, Julia, Octave, Haskell, Lua and NodeJS, as well as AI-oriented libraries such as TensorFlow, Keras, Caffe, and MXNet.
FAQ¶
vs. Notebooks¶
| Product | Role | Problem and Solution |
|---|---|---|
| Apache Zeppelin, Jupyter Notebook | Notebook-style document + code front-ends | Insecure host resource sharing |
| Backend.AI | Pluggable back-end to any front-ends | Built for multi-tenancy: scalable and better isolation |
vs. Orchestration Frameworks¶
| Product | Target | Value |
|---|---|---|
| Amazon ECS, Kubernetes | Long-running service daemons | Laod balancing, fault tolerance, incremental deployment |
| Backend.AI | Stateful compute sessions | Low-cost high-density computation |
| Amazon Lambda | Stateless, light-weight functions | Serverless, zero-management |
vs. Big-data and AI Frameworks¶
| Product | Role | Problem and Solution |
|---|---|---|
| TensorFlow, Apache Spark, Apache Hive | Computation runtime | Difficult to install, configure, and operate |
| Amazon ML, Azure ML, GCP ML | Managed MLaaS | Still complicated for scientists, too restrictive for engineers |
| Backend.AI | Host of computation runtimes | Pre-configured, versioned, reproducible, customizable (open-source) |
(All product names and trade-marks are the properties of their respective owners.)
Table of Contents¶
User Manuals¶
API Common Reference¶
User API Reference¶
Admin API Reference¶
Developer Manuals¶