Building a Cloud-Native, Hybrid-Multicloud Infrastructure

Today’s world is based on the hybrid cloud. Business interactions occur onpremises, through digital interaction, and through APIs. Today’s cloud-native applications are hybrid too, with some workloads running in private clouds and others running in one or another public cloud. Hybrid cloud adoption is at 58 percent, and the majority (84 percent) of enterprises that use cloud computing have a multicloud strategy.

Infrastructure modernization, automation, and cloud-native containers are important aspects of business transformation. The portability and repeatability of containers can create cost and resource savings, coupled with faster time to market and rapid innovation. Containers have little overhead, helping to lower hardware, maintenance, and licensing costs. They can be implemented quickly and components can be shared among containers.

Enterprises need high-performance data analytics and artificial intelligence (AI) to remain competitive. They require flexible solutions that can run traditional data analytics and AI applications. The solution described in this brief, co-developed by Intel and Red Hat, includes Intel® architecture-optimized AI libraries and tools—such as Intel® Math Kernel Library (Intel® MKL)-Deep Neural Networks and the Intel® Distribution for OpenVINO™—for developers along with validated, bundled containers for ease of DevOps deployment (for example, the Deep Learning Reference Stack). The solution helps enterprises modernize their data centers and start taking advantage of containers while lowering total costs. Based on Red Hat OpenShift Container Platform, the solution is available in Base and Plus configurations. This solution is specifically designed for a cloud-native, hybrid-multicloud infrastructure and is powered by the latest Intel® technologies. It includes AI tools 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). The platform is customizable and fully interoperable with existing infrastructure.

Enterprises can use this solution to increase their hybrid-multicloud adoption and quickly release new AI services with efficiency and scalability

Solution Benefits

• Simple scalability from on-premises to the hybrid cloud helps enterprises easily accommodate additional changes in workload demands.

• Advanced security features with technologies designed to help keep data secure and help businesses protect data with minimal impact on speed.

• High uptime with advanced reliability, availability, and serviceability (RAS) features help facilitate recovery, 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 disruptions during drive swaps and providing LED management for faster status identification.