Argonne National Laboratory

A Software Ecosystem Testimonial for AI and Machine Learning

Ecosystem Developer Resources for AI and Machine Learning

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"We're seeing encouraging early application performance results on our development systems using Intel® Data Center GPU Max Series—applications built with Intel's oneAPI compilers and libraries. For leadership-class computational science, we value the benefits of code portability from multivendor, multiarchitecture programming standards such as SYCL* and Python* AI frameworks such as PyTorch* accelerated by Intel libraries. We look forward to the first exascale scientific discoveries from these technologies on the Aurora system next year."

— Dr. Timothy Williams, deputy director, Argonne Computational Science Division