Cisco and Red Hat are helping enterprises build and scale AI through an AI Factory approach by enabling organizations to develop intelligent agents at the core and deploy them seamlessly across edge environments.
Together, Cisco’s secure, high-performance infrastructure and Red Hat’s open hybrid cloud platforms provide a consistent foundation to move AI from experimentation to production. Build once, deploy anywhere, and operationalize AI where data is created and decisions are made.
Enable high-impact enterprise AI use cases:
- Model-as-a-Service (MaaS): deliver reusable, scalable AI models across teams and applications
- Retrieval-augmented generation (RAG): ground generative AI in enterprise data for more accurate, contextual outputs
- Contextual search and intelligent agents: power real-time insights, automation, and decision-making across distributed environments
As these capabilities become core to the enterprise, organizations must modernize the platforms that support them.
Built on modern, enterprise-ready foundations:
- Platform consistency: containerized, Kubernetes-based environments from core to edge
- Hybrid-cloud flexibility: deploy and manage workloads across on-premises, cloud, and edge
- Data-ready infrastructure: support high-performance data pipelines for AI and analytics
- Automation & observability: simplify operations and maintain control at scale
- Validated architectures: reduce risk with pre-tested, production-ready designs
Cisco and Red Hat deliver a unified, validated platform to help organizations accelerate AI adoption—turning models into agents, and agents into real-world outcomes.