Intel and AMD Collaborate on Software Optimizations with PyTorch/oneDNN

Summary: Intel and AMD have started collaborating on AI software optimizations using the PyTorch and oneDNN libraries. Intel’s oneDNN library was already adopted by popular AI frameworks like PyTorch.

AI and machine learning workloads have become a significant focus for hardware manufacturers. Intel has long optimized its oneDNN (Deep Neural Network Library) for its hardware, and this library has been adopted by frameworks like PyTorch.

This collaboration aims to ensure that the oneDNN library performs better on both Intel and AMD processors. The joint effort will focus on low-level optimizations and the utilization of hardware-specific instruction sets.

For data scientists and machine learning engineers, this means more consistent and high-performance model training and inference across different hardware platforms. On the infrastructure side, it can lead to greater flexibility in hardware selection and more efficient resource utilization.

Such collaborations enhance the overall maturity of the ecosystem and reduce vendor lock-in risks. Engineers will be in a more comfortable position regarding hardware independence when deploying AI workloads.

🔗 Source: Phoronix Hardware
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