Intel oneAPI bitesize videos
Videos|18 January 2022
Learn more about Intel oneAPI
To help you get to grips with the different Intel oneAPI Toolkits and features, we've teamed up with Intel Technology Partner, Bayncore, to create a series of bitesize videos.
Watch these on-demand videos, share them with peers and colleagues and get a better understanding of how these great developer tools can help boost your cross-architecture applications.
For more information about Intel oneAPI, priority support and how Grey Matter can support you as an Elite Reseller, please head to our Intel page.
What is Intel oneAPI?
Start at the very beginning and learn what Intel oneAPI actually is.
What is Intel oneAPI heterogeneity?
Discover more about programming for multiple cores and processors by learning about Intel oneAPI heterogeneity.
What are the Intel oneAPI Toolkits?
Bayncore gives a high-level explanation of the various Intel oneAPI Toolkits, including Base, HPC, IoT, Analytics and Rendering.
What is the Intel oneAPI Base Toolkit?
Find out more about the tools included in the Intel oneAPI Base Toolkit, including a cross-architecture language Data Parallel C++ along with C++ and Python, best-in-class compilers, performance libraries, and more.
What is the oneAPI HPC Toolkit?
Discover how the Intel oneAPI HPC Toolkit (alongside the Base Toolkit) can enable you to develop performant code quickly and correctly, and scale compute-intensive workloads that exploit cutting-edge features of Intel CPUs, GPUs, FPGAs, and HPC clusters.
Intel oneAPI Rendering Toolkit
Learn how the Intel oneAPI Rendering Toolkit helps developers and content creators optimise compute cost-efficiently for a wide range of 3D, data-intensive use cases on Intel platforms of all sizes.
Intel oneAPI AI Analytics Toolkit
Learn more about the Intel oneAPI AI Analytics Toolkit and its 8 Intel-optimised libraries and frameworks including Python, PyTorch, Modin and Tensorflow.
Intel Distribution of OpenVINO
Find out about the Intel Distribution of OpenVINO and how the open-source toolkit can be used for optimising and deploying AI inference.
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