We recently launched AMD ROCm™ 5.7 for the AMD Radeon™ RX 7900 XTX and Radeon™ PRO W7900 GPUs for Machine Learning (ML) development workflows with PyTorch. We have now extended support to include the Radeon™ RX 7900 XT GPU, introducing even more options for AI developers and researchers.

The Radeon RX 7900 XT GPU features the same RDNA™ 3 GPU architecture, comes with 20GB of fast on-board memory, and includes 168 AI accelerators, making it another great solution to accelerate workflows for ML training and inference on a local desktop.

PyTorch users looking for a local client solution now have more options to leverage the parallel computing power of desktop GPUs, reducing their reliance on cloud-based solutions.

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“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”, says Erik Hultgren, Software Product Manager at AMD.

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AMD continues to give the AI community more solutions options with the AMD ROCm software and the support of now three high-end RDNA™ 3 architecture-based GPUs for Machine Learning development using PyTorch.

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