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MONAI 1.0.0 for AMD ROCm

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@soumitra-chatterjee-tech soumitra-chatterjee-tech released this 07 Oct 10:19

The Medical Open Network for AI (MONAI) is a domain-optimized, open-source framework based on PyTorch, explicitly designed for deep learning in healthcare imaging. MONAI 1.0.0 for AMD ROCm is a HIP port of MONAI upstream version 1.5.0. It is API-compatible with upstream MONAI without requiring any code changes.

MONAI for AMD ROCm, a ROCm-enabled version of MONAI, is built on top of PyTorch for AMD ROCm, helping healthcare and life science innovators to leverage GPU acceleration with AMD Instinct GPUs for high-performance inference and training of medical AI applications.

MONAI for AMD ROCm offers open, scalable, and high-performance solutions for life science and healthcare workloads.

The MONAI for AMD ROCm key features include:

  • Flexible preprocessing for multidimensional medical imaging data
  • Compositional and portable APIs for smooth integration into existing workflows
  • Domain-specific implementations for networks, losses, evaluation metrics, and more
  • Customizable design according to user expertise