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Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
To address edge firewall challenges, Lanner has partnered with Red Hat, NoviFlow, and to create CyberElastic™, a firewall solution that runs on Lanner’s HTCA-6600 multi-access edge computing (MEC) platform solution. CyberElastic makes use of Intel® architecture processors for performance and Intel® Tofino™ P4-programmable switch ASICs for high-throughput data networking and innovative load balancing functionality. CyberElastic delivers a pre-integrated, scale-out edge firewall service featuring pay-as-you-grow economics, analytics, easy installation, configuration, and remote monitoring.
Categories: 
Categories - Integrated Solutions, NFVI Hardware, NFVI OS/Virtualization, Open Source Solutions | Intel Technologies and Platforms - 1st gen Intel Xeon Scalable processor, 2nd gen Intel Xeon Scalable processor, Intel Tofino and Tofino 2 | Network Location - Hybrid Cloud, Device Edge, On Premises | Network Technologies - Network Edge, Multi-Access Edge Computing (MEC), Containers/Kubernetes, Cloud Native/NFV, Next Generation Central Office (NGCO), SDN, Network Security, OSS/BSS | Optimizations - DPDK, Intel QuickAssist Technology (QAT), Kubernetes, OpenStack Enhanced Platform Awareness (EPA) | Orchestration and Network Management - SDN Controller, Virtualized Infrastructure Manager (VIM), BSS/OSS, EMS/NMS | Verticals/Industries - Telecommunications, Enterprise, System Integration | VNFS and CNFs - Load Balancer (LB) | Workloads and Use cases - Content Distribution (CDN), Security

To address edge firewall challenges, Lanner has partnered with Red Hat, NoviFlow, and Fortinet to create CyberElastic™, a firewall solution that runs on Lanner’s HTCA-6600 multi-access edge computing (MEC) platform solution. CyberElastic makes use of Intel® architecture processors for performance and Intel® Tofino™ P4-programmable switch ASICs for high-throughput data networking and innovative load balancing functionality. CyberElastic delivers a pre-integrated, scale-out edge firewall service featuring pay-as-you-grow economics, analytics, easy installation, configuration, and remote monitoring.

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
Amdocs 5G Slice Manager feature discovery function utilizes Intel’s Converged Edge Reference Architecture (CERA) for optimal network function placement using Intel® software and hardware technologies
Categories: 
Categories - Software Platforms, Services, System Integration Services, NFVI OS/Virtualization, Test Tools and Reporting Software, Open Source Solutions | Intel Technologies and Platforms - Accelerators, 2nd gen Intel Xeon-D Scalable processor, 2nd gen Intel Xeon Scalable processor, Intel FlexRAN | Network Location - Data Center, Device Edge, On Premises | Network Technologies - 5G, Network Edge, Next Generation Central Office (NGCO), SD-WAN/uCPE, OSS/BSS, AI and Automation | Optimizations - OpenNESS, OpenVINO Toolkit, Enhanced Platform Awareness (EPA) | Orchestration and Network Management - BSS/OSS, EMS/NMS | System Integrators - System Integrators | Verticals/Industries - Telecommunications, System Integration | Workloads and Use cases - SD-WAN and uCPE, Artificial Intelligence (AI), Augmented/Virtual Reality (AR/VR), Smart Cities

Amdocs 5G Slice Manager feature discovery function utilizes Intel’s Converged Edge Reference Architecture (CERA) for optimal network function placement using Intel® software and hardware technologies

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how NimbleBox’s platform utilizes Intel® Distribution of OpenVINO™ toolkit and Intel optimizations for machine learning frameworks and languages boost inferencing on popular AI models running on Intel CPUs.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services | Industry - Education, Other | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow*, Intel® Distribution for Python* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models cant be re-trained - Inference only | Operating System - Linux, Other (pls specify) | Solution Geographic Availability - India | Solution Type - AI Platform as a Service (AI PaaS) | Topology - Yolo | Use Case - Other (pls specify)

This solution brief highlights how NimbleBox’s platform utilizes Intel® Distribution of OpenVINO™ toolkit and Intel optimizations for machine learning frameworks and languages boost inferencing on popular AI models running on Intel CPUs.

Intel® Network Builders
Technology Guide
Intel® Network Builders - Technology Guide
A summary of how Dynamic Device Personalization (DDP) is used with the Intel® Ethernet 800 Series for telecommunication deployments. It details documentation that lists the deployment elements.
Categories: 
Categories - Software Platforms, NFVI Hardware, NFVI OS/Virtualization, Open Source Solutions | Intel Technologies and Platforms - 1st gen Intel Xeon Scalable processor, Accelerators, 2nd gen Intel Xeon-D Scalable processor, 2nd gen Intel Xeon Scalable processor, 1st gen Intel Xeon-D Scalable processor | Network Location - Radio Access Network (RAN), Hybrid Cloud, Data Center, Device Edge, On Premises, Core Network | Network Technologies - 5G, 4G and 3G, vRAN, Network Edge, Multi-Access Edge Computing (MEC), Containers/Kubernetes, Cloud Native/NFV, Data Analytics, Next Generation Central Office (NGCO), SDN, SD-WAN/uCPE, Content Optimization, Network Security, OSS/BSS, Visual Cloud, AI and Automation | Optimizations - DPDK, OVS-DPDK, Kubernetes | Orchestration and Network Management - Virtualized Infrastructure Manager (VIM), SDN Controller | Verticals/Industries - Media and Entertainment, Telecommunications, Enterprise, System Integration, Cloud Service Providers | VNFS and CNFs - Virtualized Radio Access Network (vRAN), Virtualized Evolved Packet Core (vEPC), Content Delivery Networks (CDN), Load Balancer (LB), Wide Area Network (WAN) Optimization, Broadband Remote Access Server (BRAS), Session Border Controller (SBC), IP Multimedia Subsystems (IMS), Application Delivery Controller (ADC) | Workloads and Use cases - SD-WAN and uCPE, Cloud Gaming, Artificial Intelligence (AI), Augmented/Virtual Reality (AR/VR), Connected Cars, Computer Vision, Content Distribution (CDN), Emergency Response, Security, Smart Cities, Smart Factory, Smart Retail, Video Surveillance, Media Analytics , Virtualized Small Cell Gateway, Storage as a Service (SaaS)

A summary of how Dynamic Device Personalization (DDP) is used with the Intel® Ethernet 800 Series for telecommunication deployments. It details documentation that lists the deployment elements.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
This solution brief highlights how GIGABYTE was able to improve their AI workloads by implementing a TensorFlow framework with Intel Distribution of OpenVINO toolkit and utilizing 2nd Gen Intel Xeon Scalable processors with Intel DL Boost in a GIGABYTE system.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Industry - Cross-Industry, Government, Retail | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Solution Geographic Availability - Worldwide, Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Solution Type - AI Platform as a Service (AI PaaS) | Use Case - Facial Detection / Recognition / Classification, Video Surveillance and Analytics

This solution brief highlights how GIGABYTE was able to improve their AI workloads by implementing a TensorFlow framework with Intel Distribution of OpenVINO toolkit and utilizing 2nd Gen Intel Xeon Scalable processors with Intel DL Boost in a GIGABYTE system.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
This solution brief highlights how, to help optimize the performance of the full-cycle AI medical imaging solution, Intel offered HYHY technologies such as 2nd Gen Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) as the core processing engine of this solution, and software optimization tools such as the OpenVINO™ toolkit and Intel® Distribution for Python with HYHY seeing significant improvements to inference speed in image analysis scenarios such as COVID-19 screening and breast cancer detecting.
Categories: 
Application Type - Deep Learning | Combatting Covid-19 - Combatting Covid-19 | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Other, On-premise (Private Cloud, Other) | Industry - Healthcare, Software | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow*, Intel® Optimization for PyTorch* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Operating System - Linux | Solution Geographic Availability - Worldwide | Solution Type - AI Software/SaaS | Topology - Proprietary, Unet | Use Case - Medical imaging, analysis and diagnostics

This solution brief highlights how, to help optimize the performance of the full-cycle AI medical imaging solution, Intel offered HYHY technologies such as 2nd Gen Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) as the core processing engine of this solution, and software optimization tools such as the OpenVINO™ toolkit and Intel® Distribution for Python with HYHY seeing significant improvements to inference speed in image analysis scenarios such as COVID-19 screening and breast cancer detecting.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
This snapshot shares the success achieved from Baosight and Intel team in building an unsupervised time series anomaly detection project, using long short-term memory (LSTM) models on Analytics Zoo
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - On-premise (Private Cloud, Other) | Industry - Cross-Industry, Manufacturing | Model Training - Models can be trained - requires labeled data | Solution Geographic Availability - China (PRC) | Solution Type - AI Platform as a Service (AI PaaS) | Topology - LSTM, RNN | Use Case - Anomaly Detection, Predictive maintenance and analytics

This snapshot shares the success achieved from Baosight and Intel team in building an unsupervised time series anomaly detection project, using long short-term memory (LSTM) models on Analytics Zoo

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
CASwell CAR-6011 combines performance of 2nd generation Intel® Xeon® Scalable processors with flexibility of up to 24 Ethernet ports for packet-based edge applications, including data security
Categories: 
Categories - Hardware Platforms, Integrated Solutions, NFVI Hardware | Intel Technologies and Platforms - Accelerators, 2nd gen Intel Xeon Scalable processor, Intel Optane Persistent Memory | Network Location - Device Edge | Network Technologies - Network Edge, Multi-Access Edge Computing (MEC), SDN, SD-WAN/uCPE, Network Security | Optimizations - Intel QuickAssist Technology (QAT), Intel FPGAs | System Integrators - System Integrators | Verticals/Industries - System Integration, Cloud Service Providers, Automotive, Financial Services, Industrial, Manufacturing, Media and Entertainment, Medical and Healthcare, Retail, Transportation, Government , Hospitality, Telecommunications, Enterprise | VNFS and CNFs - Wide Area Network (WAN) Optimization | Workloads and Use cases - Security, SD-WAN and uCPE

CASwell CAR-6011 combines performance of 2nd generation Intel® Xeon® Scalable processors with flexibility of up to 24 Ethernet ports for packet-based edge applications, including data security

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how the Paperspace Gradient platform optimizes machine learning pipelines and delivers faster inferencing and lower query latency on 2nd Gen Intel® Xeon® processors using Intel Distribution of OpenVINO™ toolkit and Intel Distribution of OpenVINO Model Server
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other), Hybrid Cloud | Industry - Finance and Insurance, Healthcare, Other, Cross-Industry | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - online learning | Operating System - Linux | Solution Geographic Availability - Worldwide, Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Solution Type - AI Platform as a Service (AI PaaS) | Topology - MobileNet, ResNet50, SSD | Use Case - Other (pls specify), Image / Object Detection / Recognition / Classification, Data Analytics

This solution brief highlights how the Paperspace Gradient platform optimizes machine learning pipelines and delivers faster inferencing and lower query latency on 2nd Gen Intel® Xeon® processors using Intel Distribution of OpenVINO™ toolkit and Intel Distribution of OpenVINO Model Server

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how, already optimized with Intel Optimizations for TensorFlow, Embold AI-powered intelligent static code analysis tool gains additional performance with fine tuning for GPT-2 model.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Google Cloud, CSP - Microsoft Azure, On-premise (Private Cloud, Other), CSP - Amazon Web Services | Industry - Other, Software | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Model Training - Models can be trained - online learning | Operating System - Linux, Other (pls specify) | Solution Geographic Availability - Worldwide, Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Solution Type - AI Software/SaaS | Use Case - Data Analytics

This solution brief highlights how, already optimized with Intel Optimizations for TensorFlow, Embold AI-powered intelligent static code analysis tool gains additional performance with fine tuning for GPT-2 model.