Intel® Video Processing Library (Intel® VPL) provides hardware-accelerated video decode, encode, and processing capabilities on Intel GPUs, supporting AI visual inference, media delivery, cloud gaming, and virtual desktop infrastructure. It is the successor to Intel® Media SDK, offering improved frame rates and lower power usage compared to traditional CPUs. Intel VPL is optimized for Intel® Iris® Xe graphics and newer, including Intel® Arc™ Graphics and Intel Data Center GPU Flex Series. This technology enables developers to boost media application performance with programmable graphics and specialized codecs.
The Intel® Video Processing Library (Intel® VPL) provides advanced access to specialized media hardware, plus encode, decode, and video processing features on Intel GPUs.
The Intel Media SDK project is no longer active and will not be updated; users are encouraged to move to Intel VPL.
Intel has launched its Arc GPU line for edge AI, graphics, and media processing. The A750E model demonstrates significant performance gains over Nvidia's RTX 4070-S1 in media processing and AI tasks, providing new hardware options for optimizing video production, transcoding, and streaming at the edge. The GPUs integrate with the OpenVINO Toolkit for optimized AI inference.
Intel announces its new Xeon 6 System-on-Chip (SoC) processor family, optimized for networking and edge workloads, with select models launching in Q1 and Q2 2025. These processors offer significant performance-per-watt gains for media transcode and increased RAN capacity, targeting applications in vRAN, 5G Core Network, and media processing. Specific features include built-in networking, Intel vRAN Boost, and media acceleration for live streaming and CDN use cases.
Intel® Arc™ Graphics is a discrete GPU product line supported by Intel VPL.
Intel has launched its Xeon CPU Max series, featuring up to 56 cores and 64GB HBM2e (High Bandwidth Memory), designed for high-performance computing, AI, and data analytics workloads. The company claims these new CPUs deliver up to 4.8x better performance on real-world tasks and significantly boost memory bandwidth compared to previous generations and competitors. This launch provides enhanced hardware options for computationally intensive streaming workflows, including encoding and AI-driven video processing.
Intel has released details on developing fast, hardware-agnostic AI web applications using the new Web Neural Network (WebNN) API. This API enables web developers to run AI inference within browsers across CPUs, GPUs, and NPUs, supporting ONNX model execution with near-native performance. The session covers the unified programming model, performance optimization, and browser implementations across platforms.
Sachin Katti
SVP, Chief Technology and AI Officer, and General Manager of the Network and Edge Group
Naga Chandrasekaran
EVP, Chief Technology and Operations Officer, and General Manager of Intel Foundry Technology and Manufacturing
Christoph Schell
EVP and Chief Commercial Officer
Gregory (Greg) Ernst
Corporate VP – Chief Revenue Officer – General Manager, Sales Group
