Solutions Library

Wiwynn® EP100 design is optimized for communications service providers’ NFVI with flexibility, serviceability and performance. CoSPs can utilize their existing racks with flexible configuration of the 1U half-width single socket sled. With the powerful and optimized 2nd generation Intel® Xeon® Gold 6252N processor, part of the Intel® Xeon® Scalable processor family, EP100 enables high speed packet forwarding, which is critical to NFVI. By adopting the new NFVI specialized feature called Intel® Speed Select Technology – Base Frequency (Intel® SST-BF), EP100 boosts performance of targeted applications essential for some VNFs.

Describes a solution based on Cloudify policy-driven orchestration for Kubernetes-managed containerized network-functions from F5 Networks using Intel® QuickAssist Technology.

This white paper explores the use of Artificial Intelligence techniques to automate the inspection process for identification of defects (surface cracks) in concrete structures efficiently and how Wipro Technologies uses the Intel® Distribution of OpenVINO™ toolkit to optimize the inference time of their model on Intel® architectures.

Universal CPE (uCPE) systems bring the powerful performance of Intel® Xeon® D processor-based systems to the edge of communication service provider networks for agile service provisioning. Intel Select Solutions for uCPE provide a foundation for the development of uCPE products with a solution reference design and verified performance.

This white paper discusses how QuEST Global has been developing AI solutions in the medical domain, especially in tumor detection and has used the Intel® Distribution of OpenVINO™ toolkit for improved performance on Intel® Processor-based platforms for these workloads.

The Intel Select Solutions for Media Analytics provide a head start for the development of solutions in the areas of media/entertainment and smart cities. Pre-verified hardware and software configurations eliminate the need for solution providers to select and tune those stacks, reducing costs and risk, and accelerating time to market for new services.

Edge Computing is widely recognized as a key technology, supporting innovative services for a wide ecosystem of companies, ranging from operators, infrastructure owners, technology leaders, application and content providers, innovators, startups, etc. The aim of this white paper is to provide an overview of standards, industry groups and other initiatives around edge computing, together with some Intel guidelines, to help the reader to better understand the various challenges for a real deployment of Edge Computing. The focus is to mainly address the needs of two stakeholder categories in the MEC ecosystem: infrastructure owners (e.g., operators and cloud providers) and software developers (e.g., applications / content providers, innovators and startups). In fact, both stakeholder categories are key to the success of MEC, and their engagement depends also on the way the various challenges are addressed.

Intel® Link Performance Predictor (Mandarin): Delivering Better Service Performance and Improved Network Efficiency with Predictive Network And Service Characterisation

This reference architecture describes a hybrid cloud solution that can handle existing enterprise workloads (like using SQL and NoSQL databases for transactional processing) but also extends capabilities to include compute- and memory-hungry artificial intelligence (AI) jobs. From data warehousing to machine learning and deep learning, the Hybrid Cloud Data Analytics Solution is just what enterprises need as data volumes continue to swell and data centers are increasingly pressured to provide real-time insights to launch their businesses into the future.

This document describes how to utilize the Intel® SST-BF feature in a cluster managed by Kubernetes* (K8s) container orchestration.

The Hybrid Cloud Data Analytics Solution can handle existing enterprise workloads (like using SQL and NoSQL databases for transaction processing), but also extend capabilities to include compute- and memory-hungry AI jobs (like using machine-learning algorithms to perform inferencing on new data). This solution is a unique combination of the latest hardware innovations from Intel, VMware’s broad ...portfolio of virtualization software products, container orchestration, and AI tools are optimized to run on 2nd Generation Intel® Xeon® Scalable processors. These processors feature built-in inferencing acceleration through Intel® Deep Learning Boost (Intel® DL Boost) with Vector Neural Network Instructions (VNNI). With this easy-to-deploy and comprehensive solution, enterprises can quickly operationalize database processing and AI and unlock the insights hidden in their data—and scale the solution as future needs dictate.

This white paper discusses how being optimized for Intel® architecture, MaxQ AI uses Accipio lx technology to help clinicians quickly and accurately assess whether a patient has an intracranial hemorrhage (ICH).

The key to scaling the edge to cloud wireless infrastructure network transformation is a unified compute platform that converges private wireless network with IOT.

This solution brief discusses how Digitate, a software vender of Tata Consultancy Services (TCS), offers ignio, a cognitive automation product that combines AI and advanced software engineering to deliver enterprise-wide benefits to IT infrastructure and application operations.

Radio access networks are evolving to support an open, virtualized model for network agility and lower costs. ASOCS’ CYRUS 2.0 leverages virtual RAN technology for a 4G/5G solution that is robust enough for macrocells and cost-effective for small cell and indoor networks.

QNAP offers complete branch networking solution for retail stores combined with artificial intelligence (AI) to drive advanced smart checkout and facial recognition applications. Its QuCPE servers are based on Intel® architecture processors.

Foxconn targets industrial edge computing applications and private wireless base stations with flexible Converged Edge Reference Architecture (CERA) solutions using Intel® Xeon® D processors and Intel Xeon Scalable processors.

Platform Resiliency prototype that uses a set of platform data and control points (telemetry) to enable the configuration, reporting, monitoring and workload-placement in a Kubernetes (K8s) environment.

Demonstrates configuration and provisioning of Intel® SST-BF on an Open Stack managed node with or without Open vSwitch* (OVS*) reserved cores.

Describes using the capabilities of the Intel® Ethernet Controller 700 Series based Network Interface Cards (NICs) to boost packet switching performance of the Open vSwitch (OvS) with DPDK, using hardware acceleration.