Gain amazing performance with the Intel® Distribution for Python* and oneAPI tools, as covered in this hands-on workshop. With NumPy*, PyTorch*, and pandas techniques, you can apply key architectural innovations from Intel and eliminate performance constraints.

With free access to Intel® Tiber™ AI Cloud, we explore NumPy powered by oneAPI tools with universal functions (ufuncs) and similar methods in PyTorch. Learn fast and efficient ways to use current Intel hardware and tap future innovations to gain maximum value from the oneAPI libraries.

The session covers:

• Registering and gaining full access to the features of Intel Tiber AI Cloud
• Applying NumPy and PyTorch constructs to replace Python loops, achieving better readability, improved maintainability, and faster performance
• Future-proofing routines to maximize the capabilities for upcoming Intel hardware
• Understanding the value of AI Tools, which underlies NumPy and PyTorch
• Demonstrating acceleration techniques provided by NumPy and PyTorch with oneAPI tools

Numerous examples and demonstrations illustrate different operations and tasks, offering practical experience and insights into the power of oneAPI tools. Participation in hands-on activities requires an Intel Tiber AI Cloud account.