AMD recently launched AMD ROCm™ 5.7, expanding its support to the AMD Radeon™ RX 7900 XT GPU in addition to the Radeon™ RX 7900 XTX and Radeon™ PRO W7900 GPUs for Machine Learning (ML) development workflows with PyTorch.
The Radeon RX 7900 XT GPU, featuring the RDNA™ 3 architecture, boasts 20GB of on-board memory and 168 AI accelerators, providing AI developers and researchers with additional options for accelerating ML training and inference on local desktops.
For PyTorch users seeking a local client solution, the inclusion of the Radeon RX 7900 XT GPU enhances their choices to harness the parallel computing power of desktop GPUs, reducing dependence on cloud-based solutions.
Erik Hultgren, Software Product Manager at AMD, expresses enthusiasm about this latest portfolio addition, stating, “We are excited about this latest addition to our portfolio. In combination with ROCm, these high-end GPUs make AI more accessible both from a software and hardware perspective, so developers can choose the solution that best fits their needs.”
With the continuous expansion of AMD’s ROCm software and the support for three high-end RDNA™ 3 architecture-based GPUs, AMD aims to provide the AI community with diverse options for Machine Learning development using PyTorch.
