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.
“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.
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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Radeon™ AI technology is compatible with all AMD Radeon 7000 Series graphics cards and newer. Please check with your system manufacturer for feature availability prior to purchase. GD-232.
- Based on AMD internal measurements, November 2022, comparing the Radeon RX 7900 XTX at 2.5GHz boost clock with 96 CUs issuing 2X the Bfloat16 math operations per clocks vs. the RX 6900 XT GPU at 2.25 GHz boost clock and 80 CUs issue 1X the Bfloat16 math operations per clock. RX-821
