Red Hat Openshift with Data Services Powered by Intel® Technology

Solution Brief Hybrid-Multicloud | Enterprise Container Platform

Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology

Transform your business and get ready for hybrid-multicloud databases, AI, and machine-learning workloads with Red Hat OpenShift Container Platform and Red Hat Data Services on Intel® technology

Executive Summary Hybrid-cloud-capable, cloud-native infrastructure is a major part of data center deployments, whether you’re talking about databases, artificial intelligence (AI), machine-learning, or telecommunications workloads. Today’s cloud-native applications use a distributed cloud approach, with some workloads running in private clouds and others running in public Solution Benefits clouds. Ninety-three percent of enterprises have a multicloud strategy.1 • Simple scalability from on- Infrastructure modernization, automation, and cloud-native containers premises to the hybrid cloud helps are important aspects of business transformation. The portability and enterprises easily accommodate repeatability of containers can create cost and resource savings, coupled with additional changes in workload faster time to market and rapid innovation. Containers have little overhead, demands. which helps to lower hardware, maintenance, and licensing costs. They can • High storage performance of be implemented quickly, and components can be shared among containers. Red Hat Data Services (OpenShift Organizations need high performance from their workloads to remain Container Storage) powered by competitive. They require ﬂexible solutions that can run traditional Intel® Optane™ SSDs can help data analytics and AI applications. The solution described in this brief, enterprises get the most out of co‑developed by Intel and Red Hat, helps enterprises modernize their data their Intel® Xeon® processors centers and start taking advantage of containers while lowering total costs. running AI, machine-learning, Based on Red Hat OpenShift Container Platform 4.5, the solution is available analytics, and database workloads. in Base, Plus, and Edge configurations. This solution is specifically designed • Advanced security features for a cloud-native, hybrid-multicloud infrastructure and is powered by include technologies designed to the latest Intel® technologies. It includes AI tools optimized to run on 2nd help keep data secure and protect Generation Intel® Xeon® Scalable processors. data with minimal impact on The platform is customizable and fully interoperable with existing speed. infrastructure. Enterprises can use this solution to increase their hybrid- • High uptime with advanced RAS multicloud adoption and quickly release new AI services with efficiency features helps facilitate recovery, and scalability. which can reduce the frequency and cost of server downtime while protecting the integrity of mission- critical workloads. Fewer service disruptions can help lower total costs by reducing interruptions during drive swaps and providing LED management for faster status identification. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 2

Modernize Infrastructure and Applications Red Hat OpenShift Container Platform uses the Container with Red Hat OpenShift Container Platform Runtime Interface–Open Container Initiative engine and Kubernetes-based orchestration. It provides container-as-a- Business transformation requires automation and containers service (CaaS) and platform-as-a-service (PaaS) workfows for for a modern infrastructure. That’s exactly what the Intel® developers and existing applications. To simplify infrastructure Reference Implementation for Cloud-Native Hybrid-Multicloud management, Red Hat OpenShift Container Platform uses and SDN/NFV, built using the Red Hat OpenShift Container Red Hat Data Services built on Red Hat OpenShift Container Platform provides (see Figure 1). Red Hat Data Services Storage, which is based on Ceph, Rook, and Nooba. Storage (OpenShift Container Storage) powered by Intel® Optane™ SSDs nodes can also serve as regular compute nodes. provides foundational storage capabilities, complementing In response to feedback from the Kubernetes community in the compute and network capabilities of OpenShift. It also the telecom space, Intel is collaborating with the community provides a consistent and security-enabled Kubernetes to advance Kubernetes for networking. You can visit the Intel® cloud-native, hybrid-multicloud experience. A cloud-native Network Builders’ Container Experience Kits website for the infrastructure must accommodate a large, scalable mix latest developments. Here are a few examples: of services-oriented applications and their dependent components. These applications and components are • Kubernetes single-root input/output virtualization (SR-IOV) generally microservices-based, and the key to sustaining for I/O acceleration in OpenShift their operation is to have the right platform infrastructure. • Kubernetes Topology Manager for NUMA enhancement The solution documented here empowers enterprises to • Kubernetes Userspace common network interface (CNI) for accelerate and automate the development, deployment, and east-west traffic management of portable and cloud-native hybrid applications. • Kubernetes Multus CNI for high-performance container By taking full advantage of containers and automation without networking and data plane acceleration for NFV having to completely re-architect enterprise applications, environments application-development and IT operations teams gain the agility needed to develop cloud-native applications. They can also create and deploy portable applications with the speed Reduce Total Costs while Increasing Flexibility and consistency that businesses need to stay ahead of the in the Hybrid-Multicloud competition and drive new and increased revenue streams.2 The reference implementation described in this solution brief delivers a turnkey, end-to-end solution using the latest Advanced Multi-Cluster Management Intel technologies (see Figure 2) to deliver a production- Cluster Management Discovery | Policy | Compliance | Configuration | orkloads ready foundation. The solution simplifies hybrid-multicloud deployment, shares the latest best practices, and provides a Manage Workloads Build Cloud-Natve Apps Developer Productivity stable, highly available environment for running production applications. It also helps to provision and deploy a highly Platform Services Application Services Developer Services Service Mesh Databases | Languages Developer | VS Code available Red Hat OpenShift Container Platform cluster Serverless | Builds Runtimes | Integration Extensions | IDE Plugins either on-premises or in a hybrid cloud with the registry CI/CD Pipelines Business Automation Code Ready orkspaces OpenShift Full Stack Logging 100+ ISV Services and Containers and the application pods backed by Red Hat Data Services Container Chargeback (OpenShift Container Storage). Proven to scale with 2nd Platform Cluster Services Generation Intel® Xeon® Scalable processors, these verified Automated Ops | Over-The-Air Updates | Monitoring reference configurations are workload-optimized and let Registry | Networking | Router | KubeVirt | OLM | Helm organizations deploy data center infrastructure quickly and efficiently with less tuning—thereby reducing total costs. Kubernetes OpenShift Kubernetes Engine Red Hat Enterprise Linux and RHEL CoreOS Node Node Node Pod Pod Pod Pod Pod Pod Any Infrastructure Pod Pod Pod Pod Pod Pod

Red Hat Red Hat Red Hat Enterprise Linux Enterprise Linux Enterprise Linux Registry Edge Physical Virtual CoreOS CoreOS CoreOS Infrastructure Optimied for Intel® Architecture Public Cloud Private Cloud Managed Cloud Software-defined storage, network, and hybrid-cloud infrastructure

Intel® Memory and Storage Technologies

Intel® Ethernet Adapters Intel® Xeon® Intel® Optane™ Intel® Optane™ Intel® Ethernet Intel® QuickAssist Scalable Processor Persistent Memory SSD Products Technology

Figure 1. Red Hat OpenShift Container Platform, which is Figure 2. Enterprises can use Red Hat OpenShift optimized for Intel® technologies, helps customers develop, Container Platform to develop, deploy, and manage deploy, and manage innovative applications. innovative applications. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 3

Accelerate and Simplify Application Development Sample Use Case: Modern applications have a lot of moving parts, and there Hybrid-Multicloud Data Analytics from are many different concepts developers need to be aware of. Data Center Cloud to Edge This complexity can slow down innovation. OperatorHub (see To illustrate the value of the Red Hat OpenShift Figure 3) is an easy-to-use catalog of operators (a method Container Platform on Intel® technologies, consider of packaging, deploying, and managing a Kubernetes-native the following example use case. A financial fraud application) from the Kubernetes community and Red Hat detection use case built on Red Hat OpenShift can use partners. data analytics and AI to analyze patterns in historical Developers and Kubernetes administrators can use credit card transactions to accurately predict whether OperatorHub to gain automation advantages while enabling a credit card or banking transaction is fraudulent or the portability of the services across Kubernetes environments. not. Beyond financial services, the example can be Developers can choose operators for a wide variety of tasks, adapted to applications in other industries such as including AI and machine learning, databases, integration retail, manufacturing, energy, or healthcare. and delivery, logging and tracing, monitoring, networking, The examples illustrate the capabilities of the security, storage, and streaming and messaging. Once installed Red Hat OpenShift Container Platform including on a cluster, operators are listed in the Red Hat OpenShift OperatorHub and Red Hat Data Services (OpenShift Container Platform Developer Catalog, providing a self- Container Storage). The petabytes of historical credit service experience. Developers don’t need to be an expert in card transaction data can reside on large-capacity applications such as Ceph Object Storage, the SR-IOV interface, Intel® architecture-powered servers in select public Kafka, Kubefow, H2O Sparkling Water, Jupyterhub, Apache cloud databases (real-time updates on supported Spark, Seldon, Prometheus, Grafana, Argo, TensorFlow, or infrastructure and platforms can be found here). Scikit-learn—they can just install the operators they need Regional data centers can pull portions of that data to to accomplish their application goals. Using the Kubernetes train AI models. Once the model is trained, it can be plug-ins developed by Intel, telecommunications workloads encapsulated with the Red Hat OpenShift Container can accelerate I/O, use CPU pinning, separate the control and Platform and deployed at banks or kiosks where data planes, and more. The result is teams can spend more financial and credit transactions occur, to safeguard time solving critical business needs and less on installing and against potential fraud. The banks and financial maintaining infrastructure. institutions can choose to host their data center in Open Data Hub is an integration of open source projects a public cloud, a private cloud, or a hybrid cloud; that provides a blueprint for building AI as a service and on-premises; or at the edge. Banking and financial SR-IOV on Red Hat OpenShift Container Platform. Open analysts and customers can use the model to better Data Hub makes it easier for developers to jump in and start understand the patterns of fraudulent activities by writing portable and cloud-native hybrid AI applications making queries on the trained model, which uses the or take advantage of the SR-IOV device plug-in to get high AI inferencing capabilities of 2nd Gen Intel® Xeon® throughput for telecommunications workloads. Scalable processors, such as Intel® Deep Learning Boost, to deliver a better customer experience.

Figure 3. OperatorHub simplifies and speeds modern application development by providing easy access to many operators. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 4

Easily Scale Your Workloads Meet Your Growing Storage Needs with The combination of Red Hat OpenShift Container Platform, Red Hat Data Services Red Hat Data Services (OpenShift Container Storage), As the amount of data explodes in every industry, storing OperatorHub, and Intel technology makes it easy to scale a and managing that data becomes increasingly challenging. variety of workloads. These include enterprise and service As Intel® Xeon® processors get faster with a higher number of provider workloads, such as enterprise applications like cores to meet the demands of today’s AI, machine-learning, Microsoft SQL Server, PostgreSQL, and Apache Kafka; analytics, and database workloads, storage subsystems Communications Service Provider (CoSP) operations; and struggle to keep up with the randomness that multiple cores data analytics, AI, and machine-learning workloads like image present. HDDs and SATA SSDs are already hitting an IOPS- classification and financial fraud detection. The modular per-TB wall. And although the capacity of 3D NAND SSDs is architecture enables developers to quickly add capacity, growing, they too are getting slower in terms of IOPS/TB. expand clusters, and extend capabilities. The reference Intel Optane SSDs with Red Hat Data Services to store implementation described in this solution brief includes metadata and/or act as data cache can accelerate storage predefined end-to-end hardware and software, making systems based on SATA and 3D NAND SSDs and can help it easier for developers to determine which combination of solve the IOPS/TB challenge—helping to eliminate the technologies is best suited to their situation. storage penalty typical of infrastructures that use low-cost, high-capacity drives. Perform Efficient, Intel® Architecture-optimized Red Hat Data Services (OpenShift Container Storage) offers AI Inferencing persistent storage for cloud-native applications that require features such as encryption, replication, and availability across An example of an Intel architecture-optimized AI inferencing the hybrid cloud (see Figure 4). Red Hat Data Services apply solution is available on OpenShift. This solution uses several to data at rest, on the move, and at work. These cloud-native optimized libraries and frameworks to accelerate inference infrastructure data services are portable and highly scalable. workloads. These tools include the Intel® Distribution for Application teams can dynamically provision persistent Python, the Intel® Math Kernel Library (Intel® MKL), and volumes for a wide variety of workload categories including Intel® Deep Learning Boost (Intel® DL Boost). Overall, taking SQL/NoSQL databases, CI/CD pipelines, and AI and machine advantage of Intel architecture-optimized containers can learning. Red Hat Data Services is based on Ceph block, file, help improve machine-learning inference throughput. and object storage. Ceph is ideal for handling the vast amounts Red Hat Data Services is an important part of an end-to-end of unstructured data that modern applications analyze. analytics and AI infrastructure. For example, Red Hat Data Services is used as part of the IBM Analytics Engine, which in turn is part of IBM Cloud Pak for Data.

Red Hat Data Services (OpenShift Container Storage)

Workload Specialied Data Services

For Data at Rest For Data on the Move For Data at Rest Databases, Lakes and Warehouses Data Pipelines Databases, Lakes and Warehouses Provide Simplified, Universal Create Scalable, Event-Driven Architectures Enable Data Scientist Collaboration by Resilience-at-Scale Services by Connecting Data Ingest to OpenShift Simplifying Data Set Sharing and Serverless Functions Pre-Loaded Notebooks with Libraries Common to the Team

Cloud-Native Infrastructure Data Services

Hybrid Cloud Access Massive Scale Multicloud Portability Uniform Block, File and Object kBs PB-Scale, S3 Compatible, Consumed Policy-Based Data Placement with Compression, Storage Class Service via OpenShift via REST APIs Deduplication and Encryption

Figure 4. Whether data is at rest, on the move, or at work, Red Hat Data Services provides the portability and scalability for today’s data centers need. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 5

Benefits of Running Red Hat OpenShift Container Intel and Red Hat: Platform on the Latest Intel® Technology Collaboration for Innovation The reference implementation described in this solution Intel and Red Hat have codeveloped deployable brief developed by Red Hat and Intel combines 2nd Gen Intel architecture solutions—including Intel® Solutions for Xeon Scalable processors, Intel® Optane™ persistent memory, Red Hat OpenShift Container Platform—for more Intel Optane and Intel® 3D NAND SSDs, and Intel® Ethernet than 20 years with the goal of accelerating enterprise Network Adapters with the Red Hat OpenShift Container digital transformation. Intel and Red Hat collaborate on Platform. The reference implementation also includes features on a joint product roadmap, working to create enhanced capabilities from Red Hat OpenShift Container hardware and software that interact synergistically, Platform 4.5+. These capabilities empower a hybrid- so that customers can make full use of the latest multicloud, communications infrastructure that spans from technology as it becomes available. Intel also is an the network edge to the network central office. Using this active participant in OpenShift Commons, where users, reference implementation, customers can quickly harness a partners, customers, and contributors collaborate and reliable, comprehensive solution that delivers the following: work together on OpenShift. These are just some of the • Simple scalability from on-premises to the hybrid cloud reasons that many Fortune 500 companies use Red Hat helps enterprises easily accommodate additional changes Enterprise Linux and that the majority of the world’s in workload demands. data centers are powered by Intel® Xeon® processors.3 • High storage performance of Red Hat Data Services (OpenShift Container Storage) powered by Intel Optane SSDs can help enterprises get the most out of their Intel Xeon The benefits of using Red Hat Data Services include the processors running AI, machine-learning, analytics, and following: database workloads • Platform services help manage workloads effectively. • Advanced security features include technologies designed • Application services to simply build cloud-native applications. to help keep data secure and help businesses protect data • Developer services help increase developer productivity. with minimal impact on speed. • Data services help organizations realize the full value of data. • High uptime with advanced reliability, availability, and Intel and Red Hat are working with several system vendors to serviceability (RAS) features help facilitate recovery, which design Intel architecture-based Red Hat Ceph Storage reference can reduce the frequency and cost of server downtime architectures that simplify configuration and deployment. while protecting the integrity of mission-critical workloads. These reference architectures take advantage of innovations in Fewer service interruptions can help lower total costs by Intel® hardware, which are described later in this document. reducing disruptions during drive swaps and providing LED management for faster status identification.

Deploy Agile and High-Performance Networking to Meet Network Demand 2nd Gen Intel® Xeon® Scalable Processors As compute and storage requirements grow, the network • Offer high scalability for enterprise data centers. requirements increase to support users receiving or sending • Deliver performance gains for virtualized infrastructure content over the internet. This is true whether the traffic compared to previous-generation processors. is over the broadband network or 4G LTE and 5G wireless networks. This growth puts pressure on CoSPs to meet the • Achieve exceptional resource utilization and agility. demand for high-quality user experiences without service • Enable improved data and workload integrity and interruption. As a result, CoSPs must implement an agile, regulatory compliance for data center solutions. high-performance, low-latency network infrastructure. Intel® processors and Intel® Ethernet network controllers can work together with Data Plane Development Kit (DPDK) to deliver high throughput and fexibility for network services implementation.

The Intel® architecture-based solution for Red Hat OpenShift Container Platform features Intel Xeon Gold and Silver processors. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 6

Hardware Move Data Faster The Intel® Ethernet 700 Series Network Adapters accelerate Process Everything the delivery of new services and capabilities through intelligent Intel and Red Hat chose 2nd Gen Intel Xeon Scalable offloads, sophisticated packet processing, quality open source processors for this reference implementation because they drivers, and added bandwidth. These adapters can meet high- support demanding workloads, such as big data analytics quality thresholds for data resiliency and service reliability for and networking. These workload-optimized processors most media types and port speeds, and are backed by extensive also have built-in support for Intel Optane persistent testing, validation, and worldwide product support.7,8,9,10 memory and Intel DL Boost, which includes Vector Neural By complementing 2nd Gen Intel Xeon Scalable processors Network Instructions (VNNI). with Intel SSDs and Intel Ethernet 700 Series adapters, the • Intel Optane persistent memory is an innovative solution can help enterprises address storage bottlenecks memory technology that delivers a unique combination of and better utilize CPU resources. 10, 25, 40, and 100 GbE affordable large capacity and support for data persistence. options can be deployed where necessary to help provide This unique technology is comparable in speed to DRAM, balanced system performance that scales well and delivers and affordably delivers massive system memory expansion low latency. (in Memory Mode) when working with 2nd Gen Intel Xeon Scalable processors. • Intel DL Boost extends the Intel® AVX-512 to accelerate AI Are You Ready for Multicloud? and deep-learning inference workloads. Compute-intensive A hybrid cloud is a computing environment that use cases such as voice recognition can significantly benefit combines public cloud and private cloud environments. from this new embedded AI acceleration technology—it Data and applications can be shared between the two can speed deep-learning inference throughput by up environments, enabling organizations to seamlessly to 30x, compared to a previous generation Intel Xeon scale on-premises infrastructure to off-premises Scalable processor.4 infrastructure (and back). Store More Multicloud is the next evolutionary step that uses a Intel® SSDs power Red Hat OpenShift Container Platform (see combination of the best-of-breed solutions and services Appendix A). from different cloud providers, including private cloud, to create the most suitable solution for a business. Intel SSDs are optimized for Intel Xeon Scalable processors. According to Datamation, 58 percent of enterprises are • The Intel Optane SSD DC P4800X accelerates applications already using two or more cloud providers.11 for fast caching and fast storage to increase scale per Deploying containerized applications and running server and reduce transaction costs for latency-sensitive them on an Intel® technology-optimized solution for workloads. Adding one Intel Optane SSD per node to the Red Hat OpenShift Container Platform is an excellent cluster for RocksDB and the WAL partition and/or one way to modernize your infrastructure and prepare Intel Optane SSD for caching can help accelerate all-fash for multicloud. Most leading cloud service providers clusters and break through storage bottlenecks. Also, support running OpenShift. the Intel Optane SSD DC P4800X enables IT to deploy bigger and more affordable datasets to gain new insights from large memory pools. Intel Optane SSDs offer fast, predictable performance and excellent write endurance (up to 60 drive writes per day).5 • The Intel SSD D3-S4510 and the Intel SSD DC P4510 use Intel® 3D TLC NAND technology. The Intel SSD D3- S4510 offers high capacity and compatibility with existing SATA-based infrastructure, which can minimize the costs associated with modernizing the data center. The Intel SSD DC P4510 uses NVMe over PCIe to increase server agility and utilization and accelerate applications across a wide range of workloads. The P4510 also supports data-at-rest encryption and advanced manageability features, such as NVMe Management Interface (NVMe-MI). Sequential write throughput for the P4510 ranges from 1,100 to 2,900 MB/s (depending on drive size), compared to up to 510 MB/s for the D3-S4510. Write latency for the P4510 is 18 µs, compared to 37 µs for the D3-S4510.6 Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 7

Additional Intel Technologies Cluster Configurations Other Intel technologies integrated into Intel Xeon Scalable This solution is available in three configurations: Base for processors help deliver additional performance, reliability, standard workloads, Plus for more demanding workloads, and security gains: and an Edge configuration (see Appendix A). The Base and Plus configurations use Intel Optane persistent memory to • Intel® Platform Trust Technology or a discrete TPM 2.0 deliver optimized workload performance for small production helps protect the system start-up process by helping to environments and larger enterprises, and development- ensure the boot hardware is tamper-resistant and provides intensive use cases. The Plus configuration can scale when secured storage for sensitive data. demand for resources grows. • Intel® QuickAssist Technology consists of a hardware accelerator to offload cryptographic and compression/ decompression co-processing services. Learn More • Intel® HT Technology helps systems use processor resources • 2nd Generation Intel Xeon Scalable processors more efficiently and increases processor throughput to • Intel Optane DC persistent memory improve overall performance on threaded software. • Intel Ethernet 700 Series Network Adapters • Intel® Turbo Boost Technology accelerates processor and • Intel Builders graphics performance for peak loads. • Twitter #IntelBuilders • OpenShift • Intel® Speed Shift Technology allows the processor to • Red Hat Market Place select its best operating frequency and voltage to deliver • Red Hat OpenShift Supported Infrastructure optimal performance and power efficiency. • OpenShift Container Storage • Adaptive Double DRAM Device Correction offers an innovative • Red Hat Ceph Storage approach for managing errors to extend DIMM longevity. • Red Hat OpenShift Container Platform • Advanced Error Detection and Correction helps improve fault coverage by identifying and correcting errors. Learn about Intel and Red Hat at • Local Machine Check Exception helps localize handling intel.com/redhat. of bad data consumption. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 8

Appendix A: Bill of Materials for Configurations This information is provided for Base, Plus, and Edge architectures (see Tables A1-A3). Information that applies to all nodes in all configurations is provided in Table A4.

Table A1. The Base configuration is suitable for small production environments. It consists of six to nine nodes, depending on the workload (three control/master nodes, three to six compute/worker/storage nodes).

Storage Drive 4x Intel SSD DC P4510 Series 4 TB or more 1x device of ≥2 TB capacity per NUMA Node – NUMA Aligned Network 1x 25 GbE Intel® Ethernet Network Adapter XXV710-DA2 1x device per NUMA Node – NUMA Aligned dual-port or above Management Network 1x 10 GbE Intel Ethernet Network Adapter X710-DA2 dual-port or above a Can be reduced to 192 GB to be used as cache if using 1 TB of Intel® Optane™ persistent memory in Memory Mode. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 9

Table A2. The Plus configuration is suitable for high-availability production environments. It consists of 15 nodes (three control/master nodes and 12 hyperconverged compute/worker/storage nodes).

Component Converged Enterprise (Per Node) Hybrid-Multicloud and SDN/NFV SDN/NFV Differences 3x Control/Master Nodes Processor 2x Intel® Xeon® Gold 5218 processor at 2.3 GHz (16 cores) Intel Xeon Gold 6252 processor @ 2.1 GHz (24 cores) or Intel Xeon Gold 6252N processor @ 2.3 GHz (24 cores) Recommend: Intel Xeon Gold 6238R processor @ 2.2 GHz (28 cores) Memory 384 GB (12x 32 GB) (option to add 192 GB) 12x 32 GB 2933 MTs DDR4 DIMMs for best memory bandwidth Persistent Memory none Recommend for workloads that require a large memory footprint Boot Drive 2x Intel® SSD D3-S4510 480 GB 2.5-inch RAID1 Storage Drive 1x Intel SSD DC P4510 4 TB or more 2x device of ≥2 TB capacity per NUMA Node – NUMA Aligned Network 1x 10 GbE Intel® Ethernet Network Adapter X710-DA2 1x 25 GbE Intel Ethernet Network Adapter XXV710-DA2 dual-port or above dual-port or above per NUMA Node – NUMA Aligned Recommend: 25 GbE Management Network 1 GbE Management Network 12x Compute/Worker/Storage Nodes Processor • 2x Intel® Xeon® Gold 6248 processor @ 2.5 GHz (20 cores) or 6252N processor @ 2.3 GHz 24C/48T or higher number Intel® Xeon® Gold/Platinum CPU SKU • 2x Intel Xeon Gold 6252 processor @ 2.1 GHz or 6252N processor @ 2.3 GHz 24C/48T or higher number Intel Xeon Gold/Platinum CPU SKU Memory 384 GB (12x 32 GB)a Persistent Memory 1.5 TB (12x 128 GB) Intel® Optane™ Persistent Memory Boot Drive 2x Intel® SSD D3-S4510 480 GB 2.5-inch RAID1 Storage Cache 1x Intel® Optane™ SSD DC P4800X 375 GB (for WAL and OCS MON Service) Storage Drive 4x Intel SSD DC P4510 4 TB or more Network 1x 25 GbE Intel® Ethernet Network Adapter XXV710-DA2 dual-port or 10GbE Intel Ethernet Converged Network Adapter X710 DA-2 dual-port Management Network 1x 10 GbE Intel Ethernet Network Adapter X710-DA2 dual-port or above Intel® QAT Intel® C620 Series Chipset integrated on base board Intel C627/C628 Chipset, integrated with NUMA connectivity to each CPU or minimum 16 PCIe lane connectivity to one CPU LOM 10 Gbps or 25 Gbps port for PXE and OAM and 1/10 Gbps port for Management NIC a Can be reduced to 192 GB to be used as cache if using 1 TB of Intel Optane persistent memory in Memory Mode.

Table A3. Edge Cluster configuration is suitable for cluster administrators and developers to use for deployment, development, and testing. It consists of three nodes (three control/master nodes which are also worker nodes).

Component (Per Node) Enterprise Edge Hybrid-Multicloud 3x Control/Master Nodes Processor 2x Intel® Xeon® Silver 4210 processor at 2.2 GHz (10 cores) Memory 192 GB Persistent Memory none Boot Drive 2x SATA Intel® SSD DC D3-S4510 480 GB RAID1 Network 1x 10 GbE Intel® Ethernet Network Adapter X710-DA2 dual-port or above (25 GbE recommended) Management Network 1 GbE Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 10

Table A4. Software and Other Details that Apply to All Nodes and All Configurations

BASTION NODE CONFIGURATION Processor 2x Intel® Xeon® Silver 4114 processor @ 2.2 GHz (10 cores) Memory 250 GB Boot Drive 2x Intel® SSD D3-S4610 480 GB 2.5-inch RAID1 Storage Drive 4x Intel SSD D3-S4610 1.6 TB U.2 Network 25 GbE NETWORK TOP-OF-RACK CONFIGURATION Management Switch: 1x Arista Ports: 48x RJ45 1GbE 1U Data Switch: 1x Arista Ports: 18x SFP28 10/25 GbE, 4x 100 GbE 1U SOFTWARE STACKa,b,c,d Red Hat OpenShift Container Platform 4.5 Red Hat OpenShift Container Storage 4.5 Master Node OS Red Hat Enterprise Linux CoreOS 4.5 Worker Node OS Red Hat Enterprise Linux CoreOS 4.5 or Red Hat Enterprise Linux RHEL7.8-kernel-3.10.0-1127.10.1.el7.x86_64 HAProxy 2.1 Dnsmasq 2.79 Red Hat Enterprise Linux 7.8 (Bastion and Infrastructure Nodes) Spark 2.4.5 H2O Sparkling Water 3.28.0.3-1-2.4 Kafka v2.3 SQL Database PostgreSQL Deep Learning Reference Stack Latest version (clearlinux.org/stacks/deep-learning) DPDK 20.02 NGINX 1.17.10 K6 0.26 FIRMWARE/SOFTWARE CONFIGURATION Trusted Platform Module (TPM) TPM 2.0 discrete or firmware TPM—Intel® Platform Trust Technology (Intel PTT) Intel® Technologies Intel® Hyper-Threading Technology (Intel HT Technology) enabled Intel® Turbo Boost Technology enabled Intel® Speed Shift technology, Hardware P-states (HWP) native Intel Turbo Boost Technology/HWP EPP/EPB settings balanced Three-way mirroring, with the least overhead on processing powere Updated to all available patchesf a The software versions listed are minimum requirements. It is recommended to use the latest version if available. This is a validated software stack that have been verified. b Intel recommends checking your system’s exposure to the “Spectre” and “Meltdown” exploits. At the time of release, this reference implementation is deemed not vulnerable to Spectre and Meltdown Variants 1, 2, 3, 4, Foreshadow L1 terminal fault condition and MDS. c DPDK is available as an extra package from Red Hat Enterprise Linux. d Intel Ethernet Adapter XXV710-DA2 NVM Update Utility for Intel Ethernet Network Adapter 710 Series can be found here. e Recommended but not required. f Although not strictly required, we recommend that customers apply all pertinent Intel technology errata as frequently as possible. Solution Brief | Cloud-Native, Hybrid-Multicloud Platform: Red Hat OpenShift with Data Services Powered by Intel® Technology 11

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1 Hosting Tribunal, “25 Must-Know Cloud Computing Statistics in 2020.” hostingtribunal.com/blog/cloud-computing-statistics/#gref 2 IDC. “The Business Value of Red Hat OpenShift.” Sponsored by Red Hat. October 2016. openshift.com/sites/default/files/idc-business-value-of-openshift.pdf. 3 GeekWire. “Why someone needs to step up and challenge Intel in the data center chip market.” May 2018. geekwire.com/2018/someone-needs-step-challenge-intel-data-center-chip-market. 4 Configurations: Tested by Intel as of February 26, 2019. Platform: Dragon rock 2 socket Intel® Xeon® Platinum 9282 processor (56 cores per socket), HT ON, Turbo ON, total memory 768 GB (24 slots/32 GB/2933 MHz), BIOS: SE5C620.86B.0D.01.0241.112020180249, Centos 7 Kernel 3.10.0-957.5.1.el7. x86_64, Deep Learning Framework: Intel® Optimization for Caffe version: github.com/intel/caffe d554cbf1, ICC 2019.2.187, MKL DNN version: v0.17 (commit hash: 830a10059a018cd-2634d94195140cf2d8790a75a), model: github.com/intel/caffe/blob/ master/models/intel_optimized_models/int8/resnet50_int8_full_conv.prototxt, BS=64, No datalayer DummyData: 3x224x224, 56 instance/2 socket, Datatype: INT8 vs Tested by Intel as of July 11, 2017: 2S Intel Xeon Platinum 8180 processor @ 2.50 GHz (28 cores), HT disabled, Turbo disabled, scaling governor set to “performance” via intel_pstate driver, 384GB DDR4- 2666 ECC RAM. CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.10.2.el7.x86_64. SSD: Intel® SSD DC S3700 Series (800 GB, 2.5in SATA 6 Gb/s, 25nm, MLC). Performance measured with: Environment variables: KMP_AFFINITY=’granularity=fine, compact‘, OMP_NUM_THREADS=56, CPU Freq set with cpupower frequency-set -d 2.5G -u 3.8G -g performance. Caffe: revision f96b759f71b2281835f690af267158b82b150b5c. Inference measured with “caffe time --forward_only” command, training measured with “caffe time” command. For “ConvNet” topologies, dummy dataset was used. For other topologies, data was stored on local storage and cached in memory before training. Topology specs from github.com/intel/caffe/tree/master/models/ intel_optimized_models (ResNet-50), Intel C++ compiler ver. 17.0.2 20170213, Intel® MKL small libraries version 2018.0.20170425. Caffe run with “numactl -l“. 5 Intel product brief: intel.com/content/www/us/en/solid-state-drives/optane-ssd-dc-p4800x-brief.html. 6 Product specifications for Intel® SSD DC P4510 Series and Intel® SSD D3-S4510 Series: ark.intel.com/content/www/us/en/ark/compare.html?productIds=122579,122580,122573,134924,134920. 7 The Intel® Ethernet 700 Series includes extensively tested network adapters, accessories (optics and cables), hardware, and software, in addition to broad operating system support. A full list of the product portfolio’s solutions is available at intel.com/ethernet. Hardware and software are thoroughly validated across Intel® Xeon® Scalable processors and the networking ecosystem. The products are optimized for Intel® architecture and a broad operating system ecosystem: Windows, Linux kernel, FreeBSD, Red Hat Enterprise Linux (RHEL), SUSE, Ubuntu, Oracle Solaris, and VMware ESXi. 8 The Intel® Ethernet 700 Series is backed with global support infrastructure for customers pre- and post-sales. 9 Supported connections and media types for the Intel® Ethernet 700 Series are: direct-attach copper and fiber SR/LR (QSFP+, SFP+, SFP28, XLPPI/CR4, 25G-CA/25G-SR/25G-LR), twisted- pair copper (1000BASE-T/10GBASE-T), backplane (XLAUI/XAUI/SFI/KR/KR4/KX/SGMII). Note that Intel is the only vendor offering the QSFP+ media type. 10 The Intel® Ethernet 700 Series supported speeds include 10 GbE, 25 GbE, 40 GbE, and 100 GbE. 11 Datamation, May 2019, “Cloud Survey: The Rise of Multicloud Computing.” datamation.com/cloud-computing/cloud-survey-the-rise-of-multicloud-computing.html.

Intel technologies may require enabled hardware, software or service activation. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit intel.com/benchmarks. Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Performance results are based on testing as of dates shown in configurations and may not refect all publicly available updates. See backup for configuration details. No product or component can be absolutely secure. Your costs and results may vary. Intel Advanced Vector Extensions (Intel AVX) provides higher throughput to certain processor operations. Due to varying processor power characteristics, utilizing AVX instructions may cause a) some parts to operate at less than the rated frequency and b) some parts with Intel® Turbo Boost Technology 2.0 to not achieve any or maximum turbo frequencies. Performance varies depending on hardware, software, and system configuration and you can learn more at intel.com/go/turbo. All rights reserved. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation in the U.S. and/or other countries. Other names and brands may be claimed as the property of others. © Intel Corporation 1020/ACHA/KC/PDF 342671-002US