TT-Forge™ is Tenstorrent's MLIR-based compiler, designed to seamlessly integrate with various machine learning (ML) frameworks, including PyTorch, JAX, TensorFlow, and ONNX. It serves as a bridge between high-level models and Tenstorrent hardware, facilitating efficient compilation and execution of AI workloads. By leveraging open-source technologies such as OpenXLA, LLVM’s MLIR, and torch-mlir, TT-Forge™ offers a flexible and extensible foundation for AI development. Its architecture supports the ingestion of models from multiple frameworks, enabling a structured approach to compilation and optimization. This integration ensures that developers can build and deploy AI models with ease, maximizing performance on Tenstorrent hardware.