In a major move, technology giant AMD has unveiled an expansion to its machine learning (ML) development tools with the launch of AMD ROCm 5.7. Initially introduced for the AMD Radeon RX 7900 XTX and Radeon PRO W7900 GPUs, this platform upgrade now includes the Radeon RX 7900 XT GPU, presenting a comprehensive toolset for AI developers and researchers working with PyTorch.
The Radeon RX 7900 XT GPU is a standout feature of this release, showcasing the state-of-the-art RDNA 3 GPU architecture, backed by 20GB of high-speed onboard memory and robust 168 AI accelerators. AMD’s focus on this top-tier solution underscores its commitment to advancing ML workflows, particularly in training and inference processes, all directly accessible on local desktops.
This development brings added flexibility for PyTorch users in search of efficient local client solutions. The inclusion of the Radeon RX 7900 XT GPU in the ROCm lineup empowers developers to tap into the parallel computing power of desktop GPUs, reducing dependence on cloud-based solutions and providing greater adaptability in ML development workflows.
Erik Hultgren, Software Product Manager at AMD, shared his excitement about this achievement, 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.”
This announcement underscores AMD’s ongoing commitment to delivering versatile solutions for the AI community. With the inclusion of the AMD ROCm software and now support for three high-end RDNA 3 architecture-based GPUs, AMD is equipping AI developers and researchers with a robust ecosystem to elevate their machine learning projects using PyTorch.
