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Intel® AI Builders

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Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
Intel® Network Builders - White Paper

Rohde & Schwarz Tests Deep Packet Inspection for 5G Networks

Deep packet inspection (DPI) is a critical element of 4G/5G wireless networks as it is mandatory for application awareness and flow prioritization for proper service delivery and high quality of experience. Tests of R&S®PACE 2 DPI performance show a 33.8% increase on Intel® Xeon® Scalable processor-based servers when upgrading to a new CPU and demonstrate the performance impact between aligned vs misaligned non-uniform memory access (NUMA) in dual socket systems.
Categories: 
Categories - Software Platforms, Test Tools and Reporting Software | Intel Technologies and Platforms - 2nd gen Intel Xeon Scalable processor, 1st gen Intel Xeon Scalable processor | Network Location - Device Edge, On Premises | Network Technologies - 5G, vRAN, Network Edge, Data Analytics, SD-WAN/uCPE, Network Security | Optimizations - DPDK | Verticals/Industries - Telecommunications | VNFS and CNFs - Virtualized Radio Access Network (vRAN), Virtualized Evolved Packet Core (vEPC) | Workloads and Use cases - Security, SD-WAN and uCPE

Deep packet inspection (DPI) is a critical element of 4G/5G wireless networks as it is mandatory for application awareness and flow prioritization for proper service delivery and high quality of experience. Tests of R&S®PACE 2 DPI performance show a 33.8% increase on Intel® Xeon® Scalable processor-based servers when upgrading to a new CPU and demonstrate the performance impact between aligned vs misaligned non-uniform memory access (NUMA) in dual socket systems.

Intel® AI Builders
Case Study
Intel® AI Builders - Case Study
Intel® AI Builders - Case Study

M. Tuberculosis Detection with Intel® AI

This Solution Brief highlights how KFBIO utilized PyTorch 1.6 with integrated Intel MKL-DNN to deliver faster inferencing on Intel Xeon® Gold 6252 processors to aid in M. Tuberculosis Detection.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - Torch/PyTorch | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - China (PRC) | Topology - Proprietary, Other | Use Case - Medical imaging, analysis and diagnostics

This Solution Brief highlights how KFBIO utilized PyTorch 1.6 with integrated Intel MKL-DNN to deliver faster inferencing on Intel Xeon® Gold 6252 processors to aid in M. Tuberculosis Detection.

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
Intel® Network Builders - Solution Brief

Telecom Workload Placement and Affinity Model Solution Brief

This brief provides telecom planners and architects with an analysis that guides the decision making for workload placement based on network deployment model.
Categories: 
Categories - Hardware Platforms, Software Platforms, Integrated Solutions, Services, Sytem Intergration Services, NFVI Hardware, NFVI OS/Virtualization, Test Tools and Reporting Software, Open Source Solutions | Intel Technologies and Platforms - 3rd gen Intel Xeon Scalable processor, Accelerators, 2nd gen Intel Xeon-D Scalable processor, 2nd gen Intel Xeon Scalable processor, Intel Optane Persistent Memory, Intel Optane SSDs, Intel FlexRAN | Network Location - Hybrid Cloud, Device Edge, On Premises, Core Network, Radio Access Network (RAN) | Network Technologies - 5G, 4G and 3G, Network Edge, Multi-Access Edge Computing (MEC), Containers/Kubernetes, Cloud Native/NFV, Next Generation Central Office (NGCO), SD-WAN/uCPE, Network Security, OSS/BSS | Optimizations - Intel QuickAssist Technology (QAT), Kubernetes | Orchestration and Network Management - BSS/OSS, EMS/NMS | Verticals/Industries - Telecommunications, Enterprise, Cloud Service Providers | VNFS and CNFs - 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), Virtualized Radio Access Network (vRAN), Virtualized Evolved Packet Core (vEPC), Content Delivery Networks (CDN) | Workloads and Use cases - Security, SD-WAN and uCPE

This brief provides telecom planners and architects with an analysis that guides the decision making for workload placement based on network deployment model.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

Use Automated Machine Learning To Speed Time-to-Value for AI

This Solution Brief highlights how automated machine learning, powered by DataRobot’s AutoML platform and the latest Intel Xeon Scalable processors and Intel Optane persistent memory, can quickly train large datasets and build production-ready machine-learning models.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other | Framework Optimizations - TensorFlow, Keras | Industry - Cross-Industry | Model Training - Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide | Use Case - Predictive maintenance and analytics, Robotic Process Automation

This Solution Brief highlights how automated machine learning, powered by DataRobot’s AutoML platform and the latest Intel Xeon Scalable processors and Intel Optane persistent memory, can quickly train large datasets and build production-ready machine-learning models.

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
Intel® Network Builders - White Paper

Intel Tests Versa Operating System (VOS) SD-WAN on HPE Telco Blueprint Solutions

In order to quantify the performance of virtualized SD-WAN solutions, Intel coordinated a test of the Versa Networks SD-WAN software running on a uCPE from Hewlett Packard Enterprise with Red Hat Enterprise Linux and Red Hat OpenStack Platform. In an optimized environment, the tests showed consistent, repeatable, and deterministic SD-WAN performance.
Categories: 
Categories - Integrated Solutions | Intel Technologies and Platforms - 2nd gen Intel Xeon-D Scalable processor | Network Location - On Premises | Optimizations - Enhanced Platform Awareness (EPA) | VNFS and CNFs - Wide Area Network (WAN) Optimization | Workloads and Use cases - SD-WAN and uCPE

In order to quantify the performance of virtualized SD-WAN solutions, Intel coordinated a test of the Versa Networks SD-WAN software running on a uCPE from Hewlett Packard Enterprise with Red Hat Enterprise Linux and Red Hat OpenStack Platform. In an optimized environment, the tests showed consistent, repeatable, and deterministic SD-WAN performance.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

H3C Deploys OneClick AI to Improve Operational Efficiency and Forecasting Accuracy

This Solution Brief highlights how OneClick.ai Augmented Forecasting Solution powered by Intel® architecture and Intel AI technologies improved H3C’s customer service level and reduced procurement costs.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry, Professional and Business Services | Model Training - Models can be trained - data input only required, Models can be trained - online learning | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Topology - Proprietary | Use Case - Image / Object Detection / Recognition / Classification, Predictive maintenance and analytics, Data Analytics, Factory Automation

This Solution Brief highlights how OneClick.ai Augmented Forecasting Solution powered by Intel® architecture and Intel AI technologies improved H3C’s customer service level and reduced procurement costs.

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
Intel® Network Builders - Solution Brief

Amdocs SmartRAN Analytics Offers Critical 5G vRAN Optimization

Amdocs SmartRAN near-real-time optimization solution delivers better quality of service on virtual radio access networks (vRAN). The company is the first to demonstrate massive multi-antenna use case from the O-RAN Alliance.
Categories: 
Categories - Software Platforms, Services, NFVI OS/Virtualization | Intel Technologies and Platforms - 2nd gen Intel Xeon Scalable processor, Intel FlexRAN | Network Location - Radio Access Network (RAN), Data Center | Network Technologies - 5G, vRAN, Data Analytics | Optimizations - OpenVINO Toolkit | Verticals/Industries - Telecommunications

Amdocs SmartRAN near-real-time optimization solution delivers better quality of service on virtual radio access networks (vRAN). The company is the first to demonstrate massive multi-antenna use case from the O-RAN Alliance.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Huiying Medical CT Scanning Solution Aids Early Detection of COVID-19 Infections

This Solution Brief highlights how Huiying Medical (HYHY), a leading developer of healthcare technology solutions in China, have successfully deployed a system for early detection and diagnosis of COVID-19 infections using CT scans, complementing RT-PCR testing and helping identify suspected cases where lab testing is not readily accessible.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Deployment Channel - CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow, Keras, Torch/PyTorch | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only, Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Intel® Distribution for Python | Solution Geographic Availability - China (PRC) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - ResNet50, InceptionV3, Proprietary | Use Case - Medical imaging, analysis and diagnostics

This Solution Brief highlights how Huiying Medical (HYHY), a leading developer of healthcare technology solutions in China, have successfully deployed a system for early detection and diagnosis of COVID-19 infections using CT scans, complementing RT-PCR testing and helping identify suspected cases where lab testing is not readily accessible.

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
Intel® Network Builders - White Paper

Intel, Kaloom Create P4-programmable Network Solutions

P4 is a programming language for networks and enables protocol flexibility, integrated network functions, and in-band network telemetry for data center, enterprise, and service provider networks.
Categories: 
Categories - Software Platforms, Integrated Solutions, Open Source Solutions | Intel Technologies and Platforms - Intel Tofino and Tofino 2, 1st gen Intel Xeon Scalable processor | Network Technologies - 5G, Network Edge, SDN, Network Security | Verticals/Industries - Telecommunications, Enterprise, Cloud Service Providers | Workloads and Use cases - Security

P4 is a programming language for networks and enables protocol flexibility, integrated network functions, and in-band network telemetry for data center, enterprise, and service provider networks.

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
Intel® Network Builders - White Paper

AT&T and HPE Bring Low-Latency Edge Computing to Enterprises

As enterprises improve operations, customer experience and competitiveness, AT&T delivers low-latency solutions combining 4G/5G wireless network connectivity and HPE Edgeline Converged Edge Systems powered by Intel® processors
Categories: 
Intel Technologies and Platforms - 2nd gen Intel Xeon-D Scalable processor, 2nd gen Intel Xeon Scalable processor | Network Technologies - 5G, 4G and 3G, Multi-Access Edge Computing (MEC) | Verticals/Industries - Industrial, Medical and Healthcare, Retail

As enterprises improve operations, customer experience and competitiveness, AT&T delivers low-latency solutions combining 4G/5G wireless network connectivity and HPE Edgeline Converged Edge Systems powered by Intel® processors