Developers

Learn how to get your models up and running fast on Tenstorrent hardware. With two open source SDKs, you can get as close to the metal as possible, or let our AI compiler do the work.
Developers

Getting started on Tenstorrent

Looking for other documentation?
Upcoming Events
Apr 30
Modeling Multi-Device and Scale-Out in a Compiler

As machine learning models grow in complexity, executing them efficiently across multiple devices is crucial for scalability and performance. In this talk, Tenstorrent engineer Tapasvi Patel will explore compiler-based techniques for modeling multi-device execution and scale-out strategies.

Apr 16
TT Office Hours

Get to know Tenstorrent engineers in an informal environment. Bring your questions, or come just to find out what everyone is talking about!

Apr 6
LLM x Law Hackathon at Stanford

As generative AI continues to push the frontier of industries across the globe, the legal sector is no exception. This hackathon hopes to build solutions that consider the safe and trustworthy integration of LLMs for legal work. Prizes include a Wormhole n300! Join Tenstorrent for a lightning talk introduction to AI accelerators and our AI stack at the LLM x Law Hackathon at Stanford.

Educational Content

Tutorials

Intro to TT-Forge
Tutorials
Intro to TT-Forge
An overview of TT-Forge, Tenstorrent's MLIR-based compiler.
TT-Metalium Programming Overview
Tutorials
TT-Metalium Programming Overview
A guide to the Metalium programming model, Tenstorrent’s primary programming model.
How to Use the TTNN Visualizer
Tutorials
How to Use the TTNN Visualizer
Learn how to install and run ttnn-visualizer. ttnn-visualizer helps you gain a complete understanding of a model.

Written Tutorials

Bring up LLMs with TTNN
Get guidance on how to bring up high-performance multi-chip models on Tenstorrent hardware using the TT-Metalium stack.
Get started with TTNN-Visualizer
A quickstart guide to setting up ttnn-visualizer.
Build a graph of a PyTorch based model
In this tutorial, we walk you through the steps of building a graph of a pytorch model.

Join the Community

Get access to support on anything from setting up new hardware, running models or optimizing your setup, plus the latest on Tenstorrent hardware and software.
Community

Interested in contributing?

Tenstorrent's AI software stack is open source. Getting started is as easy as filing an issue.