Introduction

The tt-blacksmith project contains optimized training recipes for a variety of machine learning models on Tenstorrent hardware, powered by the tt-forge compiler stack. Showcasing the compiler's flexibility, it enables the use of popular AI frameworks like PyTorch and JAX for training workflows.

The main goal of this project are:

• Demonstrations: Practical examples and workflows showcasing how to train various ML models on Tenstorrent hardware.