The documentation set for this product strives to use bias-free language. For the purposes of this documentation set, bias-free is defined as language that does not imply discrimination based on age, disability, gender, racial identity, ethnic identity, sexual orientation, socioeconomic status, and intersectionality. Exceptions may be present in the documentation due to language that is hardcoded in the user interfaces of the product software, language used based on RFP documentation, or language that is used by a referenced third-party product. Learn more about how Cisco is using Inclusive Language.
Is your organization struggling to balance the rapid innovations required for AI with the need for a stable, secure, and manageable data-center environment? Building AI infrastructure from scratch is complex, risky, and slow. FlexPod AI with Cisco AI PODs changes that by providing a modular, pre-validated infrastructure solution specifically optimized for AI training, fine-tuning, and high-throughput inferencing. By combining the converged architecture of FlexPod Datacenter with advanced GPU-accelerated compute, you gain a high-performance platform that integrates seamlessly into your existing IT environment. Whether you are working with Large Language Models (LLMs) or real-time analytics, this solution provides the scalability and reliability necessary to turn your AI goals into business results.

Simplified architecture diagram of FlexPod AI
● Accelerate AI lifecycle: Dramatically shorten the time from infrastructure deployment to AI model training and fine-tuning
● Simplify management: Unify your AI infrastructure management through Cisco Intersight® and Cisco Nexus® Dashboard for better operational visibility
● Scale with confidence: Leverage a modular, pre-validated architecture that grows with your business needs, from pilot projects to large-scale production
● Reduce operational complexity: Streamline deployment with validated designs and automation playbooks, minimizing risk and maximizing performance
“FlexPod with Cisco AI POD provides a complete, pre-validated solution to meet the full spectrum of AI infrastructure requirements, allowing enterprises to operationalize AI initiatives with confidence and reduced time-to-value.”
FlexPod with Cisco AI PODs delivers a full-stack infrastructure tailored for the unique demands of modern AI workloads. Unlike fragmented DIY approaches, our solution offers:
● Validated performance: Every component—from Cisco UCS® servers and Cisco Nexus switches to NetApp storage—is tested and documented to ensure predictable performance.
● Integrated management: Centralize control of your compute and network fabrics through Cisco Intersight and Nexus Dashboard, reducing the burden on your IT staff.
● Flexible scalability: Start with the right-sized configuration and scale your GPU clusters as your AI adoption grows, avoiding costly upfront over-provisioning.
● Advanced AI software stack: Seamlessly run NVIDIA AI Enterprise and Red Hat OpenShift on a foundation designed for high-speed networking and persistent storage.
Start scaling your AI initiatives with confidence. Access the full technical specifications and step-by-step deployment guidance in our latest Cisco Validated Design (CVD): FlexPod with Cisco AI PODs: Infrastructure for AI Training and Fine-Tuning Deployment Guide. Get the assurance you need for your enterprise AI deployment by visiting: Cisco Validated.