update brings PyTorch support to consumer Radeon GPUs and Radeon PROAMD has released a new driver for Ubuntu, bringing PyTorch 2.0.1 support via ROCm for two RDNA3-based GPUs, the PRO W7900 and RX 7900 XT, enabling the AI community to leverage the power of machine learning development.
update brings PyTorch support to consumer Radeon GPUs and Radeon PRO
- AMD's commitment to extending support for machine learning applications in consumer-grade products is commendable.
- This move makes affordable workstation builds a reality, as the line between gaming and professional GPUs continues to blur.
- AMD is making strides in providing affordable solutions for AI-accelerated applications.
Gaming RX 7900 XTX Navi 31 support for PyTorch and ROCm on Linux
AMD has recently rolled out a new driver for Ubuntu, bringing support for consumer Radeon GPUs. This driver update is particularly significant for the AI community as it introduces PyTorch compatibility for AMD’s consumer Radeon GPUs and Radeon PRO, through the ROCm 5.7.1 platform.
PyTorch, an open-source deep learning library developed by Facebook AI Research, has gained popularity among various companies and enjoys extensive support from CPU and GPU manufacturers. Initially, AMD’s response to integrating PyTorch support for their consumer Radeon GPUs and Radeon PRO was slow. However, with the release of ROCm 5.7.1, there is a notable shift in their approach.
The latest version of Radeon Software for Linux, specifically Ubuntu 22.04.03 HEW, brings PyTorch 2.0.1 support via ROCm for two RDNA3-based GPUs: the PRO W7900 and RX 7900 XT. This marks the first official instance of AMD enabling ROCm support for the RX 7900 XTX.
Dan Wood, Corp. Vice President of Radeon Product Management at AMD, expressed excitement about offering the AI community new support for machine learning development using PyTorch on the AMD Radeon RX 7900 XTX and Radeon PRO W7900 GPUs, along with the ROCm open software platform. He also mentioned that this implementation is based on the RDNA 3 architecture, and AMD is eager to collaborate with the community.
While it hasn’t been explicitly confirmed whether lower SKUs will receive support as well, AMD is currently focusing on the high memory capacities of 24GB (7900 XTX) and 48GB (W7900). The Radeon 7900 series, powered by the Navi 31 GPU, boasts 192 AI Accelerators, which AMD claims can deliver up to 2x higher performance compared to the previous generation (Radeon PRO W6800 with Navi 21).
AMD’s commitment to extending support for machine learning applications in consumer-grade products is commendable. This move makes affordable workstation builds a reality, as the line between gaming and professional GPUs continues to blur. The emphasis on AI-accelerated applications is shifting towards open-source software optimized for cost-effective processors. While AMD Radeon Pro and nVidia RTX workstations may offer more memory, their higher cost can be a significant concern for individuals starting their AI learning journey.
In conclusion, AMD’s latest driver update for Ubuntu brings PyTorch support to their consumer Radeon GPUs and Radeon PRO, enabling the AI community to leverage the power of machine learning development. With the introduction of ROCm 5.7.1 and the RDNA 3 architecture-based implementation, AMD is making strides in providing affordable solutions for AI-accelerated applications.
Source: AMD Blog, AMD driver
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