Intel® Builders - Document Library

QiO’s Foresight Optima DC+™ solution learns workload usage patterns across a data center by leveraging 3rd Gen Intel® Xeon® Scalable processor telemetry and reduces energy consumption by availing of power management technologies.

This Cloud Reference System Architecture (Cloud RA) is one of the deployment models offered by the common Network and Cloud Edge platform. The first release of the Cloud RA discussed in this document is for Amazon Web Service (AWS) Elastic Kubernetes Service (EKS) using HarshiCorp Terraform.

This paper talks about how Avanseus utilized code optimizations to significantly improve throughput and latency of their prediction engine on Intel Xeon processors.

Real-time Continuous Optimization Solution by Granulate, an Intel company, optimizes workloads to reduce compute spending by up to 60% and improve key performance metrics by up to 40%. Certification of Granulate for Red Hat® OpenShift® Container Platform validates stability and provides for coordinated support, building further on customer value for cloud-native deployments.

QuantaEdge EGD33B-WT* is a fanless IP 67 outdoor server based on Intel® Xeon® D 2700 processors, featuring performance in a small profile to drive 5G base station and artificial intelligence (AI) edge compute applications.

Read how full virtualization of the RAN, using software-based RAN stack layers, creates an agile and scalable network to meet capacity requirements based on demand, compared to a network infrastructure based on fixed-function devices.

Testing shows organizations can improve containerized workload performance by adopting Application Device Queues and Intel® Ethernet 800 Series Network Adapters to help reduce latency, improve predictability and throughput.

Wireless and wireline convergence utilizes fixed and mobile assets efficiently and effectively to provide multi-access connectivity with better service and network optimization across multiple network systems.

Radisys* 5G Connect Open RAN and 5G Core cloud native software with Intel® Smart Edge Open Private Wireless Experience kit create easy-to-deploy, high performance, resilient, turnkey solution for private 5G networks.

Comba’s FLeX5 is a complete 5G network that is optimized for manufacturing and industrial applications. The system uses Intel® Xeon® D CPUs and an ecosystem of technologies for performance and customization.

A reference architecture for Red Hat* OpenShift Container Platform running on 3rd Gen Intel® Xeon® Scalable processors with Intel® next generation Network Adapter that provides a guaranteed base level performance for real world Containerized Network Functions

Test by Aspire Technology* compare performance of 2nd Generation Intel® Xeon® Scalable processors and 3rd Generation Intel® Xeon® Scalable processors for Open RAN 5G centralized units and distributed units.

This paper talks about how Winning Health’s Optimized PyTorch Named Entity Recognition solution accelerates healthcare data integration and insight to assist in better patient care.

This paper highlights how ENERZAi compressed and optimized OpenVINO™ model runs faster on Intel while providing flexibility to adapt to hardware constraints of edge inference platforms.

Utilizing Intel SGX Attestation Service and Key Broker Service to first verify the Confidential VM environment, and then transfer secrets from private cloud to public cloud to enhance Cloud Security Posture Management.

BON Corporation’s (BONC) TranCELL picocell is a turnkey 5G radio access network and network core solution delivering high throughput and enhanced 5G coverage across private networks

Cloud-native vCMTS using Intel® Xeon® processors and Red Hat OpenShift offers agility and cost-effective operation for multi-system operators (MSOs)

Data plane performance is important to containerized networking applications. PANTHEON.tech Co.’s StoneWork*, running on Intel® architecture processors, supports high-speed, containerized packet processing and high bandwidth.

This paper describes the functional evaluation and performance optimization exploration of ZTE's 5G UPF DPI module based on the Intel Traffic Analysis Development Kit (TADK) using 3rd Gen Intel® Xeon® Scalable processors.

ZTE and Intel repeated performance tests less than a year apart using Intel® Xeon® Gold 6330N processor, the Intel® Xeon® Platinum 8380 processor, and Intel® Ethernet 800 network adapters.