AMD Life Science documentation#
2026-09-30
1 min read time
The AMD Life Science toolkit is an open-source, GPU-accelerated library suite for life science and healthcare applications built on the core ROCm™ platform and optimized for use on AMD GPUs.
AMD Life Science can be used to accelerate new and existing life science workloads on AMD devices. The suite targets compute-intensive applications that process larger datasets so that you can build pre-processing and post-processing applications for AI models and accelerate existing life science pipelines.
The AMD Life Science libraries provide the following tools for life science acceleration on AMD GPUs:
hipCIM: A GPU imaging library that accelerates and scales image processing on AMD Instinct™ GPUs.
MONAI on ROCm: An open-source framework that brings deep learning for medical imaging to AMD GPU platforms.
MONAI Model Zoo: A collection of MONAI Bundle models with AMD ROCm inference overlays for validated segmentation workloads on AMD Instinct™ GPUs.
MONAILabel: An interactive medical image labeling framework with Early Access AMD GPU support on ROCm.
These tools are integrated into a comprehensive workflow for scientific imaging pipelines that accelerates image I/O and transformation operations for supported whole slide images on AMD GPUs.
For ready-to-run code samples that demonstrate AMD Life Science capabilities on the AMD ROCm platform, see the AMD Life Science examples.