Red Hat OpenShift AI on Cisco infrastructure for MLOps
This solution provides an application platform with the data and compute power to operationalize and automate AI.
Per U.S. General Services Administration (GSA), “We are past the point where human cognitive abilities can directly process and make sense of all this information. We need AI tools and techniques to support human capabilities to process this volume of information to reveal insights that support better decisions.”
AI is driving big changes in data center technology. According to IDC, 75% of large enterprises will rely on AI-infused processes and worldwide spending on AI-centric systems will pass $300 billion by 2026.
As AI workloads are increasing, they expose new data center challenges that include increased data storage and computing power requirement, fragmented applications stacks, rapidly evolving AI software, model rollout and update management, skill gaps, as well as privacy and regulations compliance.
Together, Red Hat and Cisco offer a validated architecture for building solid, flexible, and future-ready infrastructure for AI workflows. This pre-engineered solution combines accelerated compute with GPUs, networking, and high-performance storage from our ecosystem partners, simplifying the deployment of AI infrastructure. Red Hat OpenShift AI provides a comprehensive set of tools to train, tune, serve, monitor, and manage AI model lifecycles and experiments, while Red Hat Validated Patterns offer pre-defined computing configurations that bring together the Red Hat portfolio and technology ecosystem. The integration of Cisco Intersight and Red Hat OpenShift installer allows for complete automated configuration of hardware, provisioning of OpenShift, and installation of business line applications.
We work with our ecosystem storage partners, including NetApp and Pure Storage, to offer Red Hat OpenShift AI solutions on FlexPod and FlashStack. Look for these CVDs under the Resources tab.
Refer to related solutions in this Red Hat Ecosystem Catalog: 1) Cisco Gen AI solutions with Red Hat OpenShift AI, 2) Cisco and NetApp FlexPod with Red Hat OpenShift, 3) Cisco and Pure Storage FlashStack with Red Hat OpenShift, 4) A modern virtualization infrastructure based on Cisco UCS
- Validated and simplified
The “Red Hat OpenShift AI on Cisco infrastructure for MLOps” Cisco Validated Designs deliver the blueprints for AI infrastructure with a full stack architecture to simplify, automate, and scale operations for AI. The solution integrates Cisco Intersight and Red Hat OpenShift installer to automate server configuration, provision OpenShift, and simplify management. Red Hat Validated Patterns provides pre-defined computing configurations that bring together the Red Hat portfolio and technology ecosystem to help stand up architecture faster. This validated solution for AI saves time and reduces risk, allowing you to focus on growing your business.
- Consistent application platform & experience
Red Hat OpenShift offers a consistent application platform and experience on any cloud or infrastructure. Red Hat OpenShift AI, an add-on to OpenShift, provides a portfolio of tools for training, tuning, serving, monitoring, and managing AI/ML models, from AI/ML model development to operationalization. With Red Hat OpenShift AI, you can develop AI-enabled applications once and deploy them anywhere.
- Flexible and scalable
The solution incorporates product, technology, and industry best practices to deliver a highly-available, scalable, and flexible architecture. The foundational infrastructure uses an architecture that offers a robust, scalable portfolio of compute, networking and storage options for their AI initiatives. Its storage can be scaled up or scaled out without sacrificing feature/functionality. Red Hat OpenShift AI relies on this power of converged infrastructure to accelerate the delivery of AI/ML models and applications in a seamless, consistent manner, at scale. The platform provides the development environment, tools, and frameworks that data scientists and machine learning teams need to build, deploy, and maintain AI/ML models in production.
Collections are a distribution format for Ansible content that can include playbooks, roles, modules, and plugins. You can install and access the certified collections through the Red Hat Ansible Automation Hub in the Hybrid Cloud Console.
