tt-mlir is a compiler project aimed at defining MLIR dialects to abstract compute on Tenstorrent AI accelerators. It is built on top of the MLIR compiler infrastructure and targets TTNN.
For more information on the project, see https://tenstorrent.github.io/tt-mlir/.
- Generality: Support a wide range of AI models and workloads including training
- Scalable: First class primitives to describe scaling to multichip systems
- Performant: Enable great out of the box performance
- Tooling: Enable human in the loop guided compiler optimization
- Open source: All project development is done in the open
