AMD’s Dual-Stream ROCm Strategy: Bridging Stability and Innovation Through 2026
AMD’s Strategic Pivot in High-Performance Computing AMD has unveiled a groundbreaking approach to its ROCm (Radeon Open Compute) platform with…
AMD’s Strategic Pivot in High-Performance Computing AMD has unveiled a groundbreaking approach to its ROCm (Radeon Open Compute) platform with…
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, 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.