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Accelerate data center transformation with Cisco AI PODs

Align your AI infrastructure modernization for proven deployment speed and ease.

What is an AI POD?

Cisco AI PODs are edge, RAG, and large-scale inferencing solutions that lower total cost of ownership and provide greater control. As the only full-stack inferencing solutions validated with open-standards AI-specific technology, AI PODs can help ensure successful deployments of AI workloads and accelerate time to value.

An integrated solution optimized for AI

Cisco AI PODs simplify and speed deployment of the entire infrastructure stack for inferencing.

AI-ready performance

Quickly and confidently deploy full-stack infrastructure, software, and AI toolsets—fit for purpose to deliver high-speed, low-latency, lossless performance for networking and servers. 

Security for AI workloads

Integrate unified network security measures from ground to cloud to secure use of AI models and applications, protect user data, and ensure data integrity. 

Validated reliability

Achieve predictable outcomes with a rigorously tested solution. AI PODs are validated with AI technologies, showcasing consistent performance and dynamic scalability.

Open-source compatibility

Develop and train applications efficiently with validated designs and configurations for a wide range of market-leading AI, virtualization, and container technologies.

Simplified management

Reduce operational complexity and manual errors by streamlining management—with centralized provisioning, real-time visibility, and pre-scripted automations.

Consult with an AI-ready infrastructure expert

Get expert guidance on modernizing your network and compute infrastructure. 

Book free meeting

Drive innovation, accuracy, and insight

AI PODs are available in hardware configurations that tailor CPUs, GPUs, compute nodes, memory, and storage for a variety of use cases. 

Edge inferencing

Processing in real time close to sources improves data security and energy efficiency—especially in low-latency IoT usages such as industrial automation, in-store analytics, and patient monitoring.

RAG inferencing

Retrieval-Augmented Generation (RAG) enhances AI models with external or proprietary data sources to enable conversational agents, content generation, and personalized recommendations.

Large-scale RAG inferencing

Support extensive data environments to handle large datasets and complex queries, train large language models, and fine-tune enterprise models. 

Scale-out inferencing cluster

Enable inferencing capabilities for multiple models to support diverse AI projects involving comprehensive data handling, distribution, and scale. 

Resources to get started

AI PODs for inferencing At-a-Glance

Get details on AI POD components, hardware configurations, and benefits that build on more than 20 years of Cisco Validated Designs (CVD). 

Read At-a-Glance

Guide to deploying AI workloads

Plan for success with a step-by-step guide to key organizational, technological, data, and performance considerations for maximizing AI deployment value.

Explore guide