Optimizing video solutions for cloud using Intel Data Center GPU Flex Series

Sumit Mohan; Wen-Fu Kao; Charlie L. Wang

doi:10.1117/12.2685873

4 October 2023 Optimizing video solutions for cloud using Intel Data Center GPU Flex Series

Sumit Mohan, Wen-Fu Kao, Charlie L. Wang

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 1267413 (2023) https://doi.org/10.1117/12.2685873
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

We are in an era of immense growth in visual processing where intelligent, interactive, and immersive visual experiences are delivered from the cloud anywhere, anytime and on any device. The demand for delivering premium visual experience from the cloud brings new challenges in providing high-resolution, high-quality, high-density, and yet low latency media. Intel® Flex Series GPU is a breakthrough solution designed for delivering premium visual experiences from the edge and Cloud using Intel’s long-standing Intel® Quick Sync Video technology. It provides a flexible, robust and industry’s most open GPU solution for the intelligent visual cloud. It includes broad industry codec support across common formats in broadcasting and creation, pre- and post-processing capability without compromising visual quality. This paper highlights how the Flex Series GPU improves flexibility, scalability and lowers total cost of ownership (TCO) for cloud and edge computing across a wide variety of visual services. It discusses the latest Intel® Quick Sync Video architecture, its broad support for popular media tools, APIs and frameworks, and its future vision. It also showcases several software innovations on Flex Series GPU across large neural network architecture support of generative AI and visual AI models, support for 8K60 real-time transcoding with Intel® Deep Link Hyper Encode technology on FFMPEG, low latency cloud gaming and license free virtualization solution. The paper also covers Intel’s oneAPI which empowers developers to deliver open, portable code across Intel’s CPUs and GPUs to maximize visual services throughput.

Conference Presentation

Citation Download Citation

Sumit Mohan, Wen-Fu Kao, and Charlie L. Wang "Optimizing video solutions for cloud using Intel Data Center GPU Flex Series", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 1267413 (4 October 2023); https://doi.org/10.1117/12.2685873

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