These examples demonstrate the power and flexibility of MAX. They include:
End-to-end demonstrations of common AI workloads and more, built using Mojo and the MAX Graph API.
MAX has the power to accelerate existing PyTorch and ONNX models directly, and provides Python, Mojo, and C APIs for this. These examples showcase common models from these frameworks and how to run them even faster via MAX.
We removed the extensibility API in v24.5 (it was added in v24.3) and we're replacing it with a better version soon. Because MAX is still a preview, we don't want to leave APIs in the platform that we have no intention to support. Stay tuned for an improved extensibility API that works on both CPUs and GPUs.
Jupyter notebooks that showcase PyTorch and ONNX models being accelerated through MAX.