Cisco Secure AI Factory with NVIDIA and Red Hat

Organizations recognize AI as a strategic business priority but often struggle to move beyond pilot projects into production. AI initiatives frequently require integrating multiple infrastructure components, software platforms, security controls, and operational processes, creating complexity, increased costs, and longer deployment cycles.

Many enterprises also face challenges including:

·     Building secure, scalable AI infrastructure that supports enterprise governance.

·     Managing AI workloads consistently across on-premises, cloud, and edge environments.

·     Integrating GPUs, networking, storage, and software into a validated architecture.

·     Maintaining operational efficiency while meeting compliance and security requirements.

·     Avoiding vendor lock-in while preserving flexibility for future innovation.

Without an integrated AI platform, organizations spend valuable time designing, validating, and operating infrastructure instead of delivering business outcomes. This slows innovation, increases operational risk, and delays the return on AI investments.

Cisco Secure AI Factory with NVIDIA and Red Hat is built on a validated, enterprise-ready architecture that enables organizations to deploy AI infrastructure faster, simplify operations, and scale AI workloads with confidence.

The solution combines Cisco AI PODs, high-performance networking, integrated security, and observability with the Red Hat AI Factory software stack to deliver a unified platform for AI development, deployment, and operations. Based on Cisco Validated Designs (CVDs), the solution reduces integration complexity and provides a proven architecture for deploying AI across data center, cloud, and edge environments.

At the core of the software stack, Red Hat AI Factory software combines Red Hat AI Enterprise and NVIDIA AI Enterprise into a unified offering. It provides a consistent Kubernetes-based platform for data scientists, AI engineers, developers, and IT operations teams to build, train, fine-tune, deploy, serve, and monitor AI models and intelligent applications across hybrid cloud environments. Cisco complements the platform with AI-optimized infrastructure, intelligent networking, automated operations, integrated security, and end-to-end observability to simplify deployment and lifecycle management.

Together, Cisco, NVIDIA, and Red Hat help organizations standardize AI operations, optimize infrastructure utilization, strengthen security, and accelerate the delivery of generative AI, agentic AI, machine learning, and intelligent applications. The open, validated architecture enables customers to scale AI initiatives while maintaining the flexibility, operational consistency, and governance required for enterprise AI.