SoftwareTechnology

PyTorch 2.9 Expands Hardware Support with AMD ROCm and Intel XPU Installation Improvements

The latest PyTorch 2.9 release significantly improves installation support for AMD ROCm and Intel XPU hardware platforms through expanded wheel variant implementation. This update builds upon previous NVIDIA CUDA support to deliver automated platform detection for simplified package installation. The release also introduces symmetric memory for multi-GPU programming and FlexAttention support for Intel GPUs.

PyTorch 2.9 Released With Enhanced Hardware Support

PyTorch, the popular open-source machine learning framework, has released version 2.9 ahead of its annual conference in San Francisco, according to reports from the development team. The latest iteration brings significant improvements to hardware compatibility and installation processes, particularly for AMD and Intel platforms, sources indicate.

HardwareSemiconductors

AMD Zen 6 CPUs Reportedly Compatible With Existing AM5 Motherboards, 32 MB BIOS Support Confirmed

According to industry sources, AMD’s upcoming Zen 6 architecture will maintain compatibility with existing AM5 motherboards featuring 32 MB BIOS chips. This development, hinted at through motherboard leaks and insider reports, suggests a seamless upgrade path for current AMD platform users without requiring hardware replacements.

Zen 6 Compatibility Leak Points to Broad AM5 Support

Recent leaks from prominent hardware sources indicate that AMD‘s next-generation Zen 6 processors will maintain compatibility with existing AM5 motherboards, including those with 32 MB BIOS capacity. This information, shared by leaker @9950Pro (HXL) on social media platform X, suggests that both current 600-series and upcoming 800-series motherboards will support the new architecture without requiring BIOS chip upgrades.