Enable standards-based accelerated computing on CPUs and GPUs without using low-level proprietary programming APIs. Optimize performance and portability by extending the familiar CPU programming model to a GPU with a compute follows data model.
This library provides utilities for device selection, allocation of data on devices, tensor data structure, the Python* Array API Standard implementation, and support for the creation of user-defined data-parallel extensions.
Learn how to productively program in Python using standards-based libraries for the highest performance.
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Intel Distribution for Python is included as part of the AI Tools, which provides accelerated machine learning and data analytics pipelines with optimized deep learning frameworks and high-performing Python libraries.
Build and optimize oneAPI multiarchitecture applications using the latest Intel-optimized oneAPI and AI tools, and test your workloads across Intel® CPUs and GPUs. No hardware installations, software downloads, or configuration necessary.
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