Operational Improvements for AI and Cloud-Native Workloads from Cisco and Pink Hat


For almost 20 years, Cisco and Pink Hat have collaborated on built-in, industry-leading options to optimize IT infrastructure. The partnership brings collectively Pink Hat experience in working programs, containers, and automation with world-class knowledge middle compute, networking, and administration merchandise and options from Cisco. The businesses have most lately targeted on product integrations and options that assist prospects develop, deploy, and handle essentially the most demanding synthetic intelligence (AI) and cloud-native workloads throughout on-premises knowledge facilities and multicloud environments.

AI is pushing conventional infrastructure to its limits attributable to its huge datasets, specialised algorithms, and course of orchestration necessities. Given the vital nature of the datasets and the enterprise processes AI is being deployed to enhance, IT groups are confronted with important concerns round safety and infrastructure scalability to help the inevitable development.

Collectively, Cisco and Pink Hat are devoted to decreasing the complexity of knowledge middle operations to assist our prospects deploy business-critical workloads throughout on-premises or multicloud environments in a constant method. Our philosophy is that whereas AI is altering every part, the necessity for accelerated infrastructure shouldn’t change the way in which Cisco prospects function their networking and compute environments. We have to assist keep away from new islands of bespoke infrastructure and operations.

Serving to prospects adapt to infrastructure modernization necessities

Collectively, we’re constructing built-in options on world-class infrastructure and administration platforms from Cisco and superior open supply and automation applied sciences from Pink Hat, together with Cisco UCS, Cisco Intersight, Cisco knowledge middle networking, and Pink Hat OpenShift. Our purpose is to ship a strong, scalable, and automatic basis for patrons in search of AI instruments and options to modernize their functions infrastructure and knowledge middle networking operations.

“By integrating Cisco UCS and Cisco Intersight with Pink Hat OpenShift, prospects can profit from enhanced efficiency for demanding AI workloads backed by a dependable containerized surroundings for simplified software improvement and administration,” mentioned Pink Hat’s Tushar Katarki, Senior Director, Product Administration, Hybrid Cloud Platforms.

Right here’s a abstract of what we’re saying and showcasing on the present.

Extending OpenShift help on Cisco UCS naked metallic

Clients can now simplify operations by eliminating the hypervisor layer to run cloud-native workloads. This helps scale back general infrastructure prices whereas growing useful resource utilization. With OpenShift Virtualization, legacy functions can run in VMs that may be created, managed, cloned, and live-migrated subsequent to containerized workloads on bare-metal Cisco UCS. A bare-metal structure additionally gives extra direct {hardware} entry, maximizing efficiency for demanding workloads resembling high-performance computing, AI, or different latency-sensitive functions.

New Cisco Validated Designs (CVDs) for generative AI

Enterprises are investing in GenAI for driving innovation, enhancing decision-making capabilities, and mitigating dangers by means of predictive modeling and state of affairs evaluation, amongst many different capabilities. At Pink Hat Summit, we’re introducing a number of Cisco Validated Designs for GenAI use instances together with:

  • The way to run GenAI duties resembling inferencing over converged infrastructure with NVIDIA GPUs, the NVIDIA AI Enterprise Software program Suite, VMware vSphere, and OpenShift. These CVDs help steady integration (CI) architectures for each NetApp FlexPod with NetApp Astra Trident and FlashStack with Pure Storage Portworx for persistent storage. These validated designs additionally spotlight sustainability capabilities that includes Cisco UCS Energy and Vitality Metrics Dashboard.
  • One other GenAI inferencing CVD options the Intel fifth Technology CPU, Intel OpenVINO toolkit, VMware vSphere, OpenShift, and OpenShift AI. This design information reveals how OpenShift Knowledge Basis customers can leverage native storage in Cisco UCS servers for simplified operations.
  • A fourth CVD is for streamlining machine-learning operations with OpenShift AI on FlashStack with NVIDIA GPUs to operationalize and speed up mannequin supply with consistency and effectivity.

Enhancing community efficiency and safety

We’re additionally showcasing the advantages of integrating Cisco Utility Centric Infrastructure (ACI) with OpenShift to assist prospects enhance their community operations. We are going to showcase how the Cisco ACI CNI plugin for OpenShift creates a single, programmable community that eliminates bottlenecks between OpenShift functions and the remainder of the infrastructure. This method additionally improves safety by means of versatile microsegmentation. Moreover, we may have a brand new resolution demo that includes Lightspeed-ACI, which automates the creation of Ansible playbooks for ACI, accelerating community operations.

Jayakrishna Mada, Product Supervisor, Cisco Knowledge Heart Networking, contributed to this weblog.

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