AMD enables AI with PyTorch on select RDNA™ 3 GPUs with ROCm™ 5.7

Advanced Micro Devices (AMD) has announced that it is enabling artificial intelligence (AI) acceleration on select RDNA™ 3 GPUs with the latest release of its open-source Radeon Open Compute (ROCm™) software platform, version 5.7. This update allows users to harness the power of AI and machine learning with popular frameworks such as PyTorch.

With this release, developers and researchers can take advantage of the compute capabilities of AMD’s latest RDNA™ 3 GPUs for AI workloads. The ROCm™ 5.7 platform includes optimized support for the PyTorch framework, enabling developers to train and deploy AI models on AMD GPUs with ease.

AMD’s collaboration with the PyTorch community brings the performance and efficiency of RDNA™ 3 GPUs to AI and machine learning tasks. This allows for faster training times and improved accuracy, making it ideal for a wide range of AI applications including computer vision, natural language processing, and more.

By incorporating support for PyTorch on select RDNA™ 3 GPUs, AMD is further solidifying its commitment to enabling AI and machine learning capabilities across its product lineup. Users can now leverage the power of ROCm™ 5.7 to accelerate their AI workflows on AMD’s latest hardware, unlocking new possibilities for innovation and discovery.

Developers and researchers interested in exploring the capabilities of AMD’s RDNA™ 3 GPUs with PyTorch can download the latest ROCm™ 5.7 platform and start experimenting with AI workloads today.

Overall, this latest announcement from AMD marks an important milestone in the company’s efforts to empower the AI and machine learning community. With support for PyTorch on select RDNA™ 3 GPUs, AMD is providing developers and researchers with the tools they need to push the boundaries of AI and drive new breakthroughs in a wide range of industries.