Document Library

Synamedia increases transcoding channels per node on 3rd generation Intel® Xeon® processor-based servers, including up to a 30 percent improvement for SD transcoding and up to 33 percent for FHD and UHD.

This Solution Brief highlights how Intel optimizations of Winning Health’s Bone Age Assessment (BAA) model helped greatly reduce image analysis time enabling large scalability of SaaS solution for hospitals and clinicians on cloud platforms.

Tests by Clavister of virtual services-based firewall using 2nd generation Intel® Xeon® Scalable CPU shows packet throughput rates increase as more cores are incorporated, demonstrating linear scalability for firewalling in a 5G environment¹

Combining Cloudify orchestrator with RAD’s vCPE-OS (and RADview domain orchestrator) on Intel® architecture uCPE enables convergence of communication, information, and operational technology services at network and customer edges

Intel Select Solutions for NFVI are consistent building blocks that ease interoperability, gain stability, and speed deployment, thereby addressing the challenges faced when choosing the right infrastructure on which to implement NFV-based services.

This benchmark report presents the throughput performance improvements achievable for various deployments and configurations of Open vSwitch (OVS) with the Data Plane Development Kit (DPDK) for a given use case.

The most significant change to telecom economics in the era of 4G expansion and 5G innovation is network virtualization. For many mobile operators, a virtualized radio access network (vRAN) is the culmination of that process, transforming their ability to deliver unprecedented quality of experience with a wealth of new revenue-generating services. As a pioneer in aligning optimization to customer experience metrics rather than just network performance metrics, Amdocs sought to address these challenges by developing its SmartRAN network optimization and analytics solution.

This white paper describes iSIZE's innovative BitSave technology, an AI-based perceptual optimization that adaptively filters the video content before it reaches the codec, such that the output after compressing with any standard video codec is perceptually optimized (e.g., less motion artifacts or blurring), for the same bitrate.

This paper describes ZTE's 5G core network UPF solution based on the latest 3rd Gen Intel Xeon Scalable processors and Intel Ethernet 800 Series Network Adapters with Dynamic Device Personalization (DDP) capabilities.

This paper is a detailed study of how a virtualized Cable Modem Termination System (vCMTS) data-plane workload can take advantage of the advanced features of 3rd Gen Intel® Xeon® Scalable processor architecture enhancements such as bigger cache-sizes at each level, higher core-count, more memory, and specifically advanced features such as: Enhanced Intel® Advanced Vector Extensions 512 (Intel® AVX-512), Dual AES encryption engines, Intel® Vector AES New Instructions (AES-NI), Intel® Vector PCLMULQDQ carry-less multiplication instruction, Intel® QuickAssist Technology. It also provides insights into implementation options and establishes an empirical performance data baseline that can be used to estimate the capability of a vCMTS platform running on industry-standard, high-volume servers based on 3rd Gen Intel Xeon Scalable processor architecture. Actual measurements are presented for a 3rd Gen Intel Xeon Scalable processor-based system. Results shown in the paper showcase a 70% improvement in vCMTS platform performance and service group density when utilizing the maximum core Network SKU of the 3rd generation Intel Xeon Scalable processor.