For practically 20 years, Cisco and Red Hat have collaborated on built-in, industry-leading options to optimize IT infrastructure. The partnership brings collectively Red Hat experience in working methods, containers, and automation with world-class knowledge heart compute, networking, and administration merchandise and options from Cisco. The corporations have most not too long ago targeted on product integrations and options that assist clients develop, deploy, and handle probably 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 as a result of its large datasets, specialised algorithms, and course of orchestration necessities. Given the essential 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 assist the inevitable development.
Together, Cisco and Red Hat are devoted to decreasing the complexity of information heart operations to assist our clients deploy business-critical workloads throughout on-premises or multicloud environments in a constant method. Our philosophy is that whereas AI is altering every thing, the necessity for accelerated infrastructure shouldn’t change the way in which Cisco clients function their networking and compute environments. We want to assist keep away from new islands of bespoke infrastructure and operations.
Helping clients adapt to infrastructure modernization necessities
Together, we’re constructing built-in options on world-class infrastructure and administration platforms from Cisco and superior open supply and automation applied sciences from Red Hat, together with Cisco UCS, Cisco Intersight, Cisco knowledge heart networking, and Red 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 purposes infrastructure and knowledge heart networking operations.
“By integrating Cisco UCS and Cisco Intersight with Red Hat OpenShift, customers can benefit from enhanced performance for demanding AI workloads backed by a reliable containerized environment for simplified application development and management,” mentioned Red Hat’s Tushar Katarki, Senior Director, Product Management, Hybrid Cloud Platforms.
Here’s a abstract of what we’re saying and showcasing on the present.
Extending OpenShift assist on Cisco UCS naked steel
Customers 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 purposes 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 presents extra direct {hardware} entry, maximizing efficiency for demanding workloads akin to high-performance computing, AI, or different latency-sensitive purposes.
New Cisco Validated Designs (CVDs) for generative AI
Enterprises are investing in GenAI for driving innovation, enhancing decision-making capabilities, and mitigating dangers via predictive modeling and state of affairs evaluation, amongst many different capabilities. At Red Hat Summit, we’re introducing a number of Cisco Validated Designs for GenAI use circumstances together with:
- How to run GenAI duties akin to inferencing over converged infrastructure with NVIDIA GPUs, the NVIDIA AI Enterprise Software Suite, VMware vSphere, and OpenShift. These CVDs assist 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 Power and Energy Metrics Dashboard.
- Another GenAI inferencing CVD options the Intel fifth Generation CPU, Intel OpenVINO toolkit, VMware vSphere, OpenShift, and OpenShift AI. This design information exhibits how OpenShift Data Foundation 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 are additionally showcasing the advantages of integrating Cisco Application Centric Infrastructure (ACI) with OpenShift to assist clients enhance their community operations. We will showcase how the Cisco ACI CNI plugin for OpenShift creates a single, programmable community that eliminates bottlenecks between OpenShift purposes and the remainder of the infrastructure. This strategy additionally improves safety via versatile microsegmentation. Additionally, we could have a brand new answer demo that includes Lightspeed-ACI, which automates the creation of Ansible playbooks for ACI, accelerating community operations.
Jayakrishna Mada, Product Manager, Cisco Data Center Networking, contributed to this weblog.
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