Turn compute into intelligence

Train and deploy AI modelsefficiently on any device

Create neural networks that run better on any hardware, for both training and inference.

Burn's novel approach supports dynamic graphs and shapes with the performance of static graphs, thanks to our advanced multiplatform Just-in-Time compiler.

Core principles

We do not compromise on what matters the most in artificial intelligence.

We believe in maximizing compute across all existing hardware, turning it into impactful intelligence.

  1. 01 /

    Blazingly fast

    Combine multi-level compiler technology with runtime search to find the best way to run any neural network.

  2. 02 /

    Portable

    Run your models on cloud servers, laptops, mobile, from AMD, NVIDIA, Intel, Qualcomm, Apple, or any computing device.

  3. 03 /

    Flexible

    Build neural networks with dynamic graphs and shapes, without sacrificing performance for both training and inference.

Built with Rust

Burn introduces a unique architecture based on tensor operation streams, fully optimized at runtime and auto-tuned for your hardware by a Just-in-Time compiler. This approach relies on Rust's ownership rules to precisely track tensor usage, a feature unattainable without a robust type system. It enables you to create highly dynamic models with the performance of an extensively optimized static graph.

Burn adheres to the best practices of the Rust programming language, renowned for its reliability, enhancing development speed and helping you achieve your goals more quickly.

MNIST Inference Demo

The model is built using Web Assembly and runs entirely in the browser.

The code can be found here.

Draw a digit here

Probability result

The next-generation AI infrastructure

Accelerate progress with Burn

  1. 01 /

    Increased developer productivity

    Less performance tuning, no custom hacks, minimal debugging, no dependency hell. Optimized focus for more iterations.

  2. 02 /

    More iterations

    More feedback accelerates model improvement and drives research breakthroughs, leading to better results.

  3. 03 /

    Better results

    Whether you're deploying models more cost-effectively, improving customer satisfaction, or increasing your number of publications, it will enhance your work.

Be part of our community

Join our Discord and GitHub group!

We want everyone to feel welcome, no matter their background. Ask questions, share your creations, and stay updated on Burn's latest releases! 🔥

Shape the futureof AI with us

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