Many AI conversations at this time middle on how AI needs to be deployed, secured, and managed in the actual world. At Pink Hat Summit 2026, held on the Georgia World Congress Middle, the message is obvious: the way forward for AI is hybrid, it’s distributed, and it’s constructed on a basis of deep, collaborative engineering.
To assist organizations thrive on this actuality, Cisco has developed not solely highly effective {hardware}, but in addition a deep integration between Cisco infrastructure and Pink Hat’s open-source ecosystem that’s designed to unravel a number of the most urgent challenges for contemporary enterprises from the info middle core to the furthest edge.
Learn on to be taught extra about Cisco and Pink Hat’s collaboration, in addition to extra insights from Pink Hat Summit.
A partnership constructed for the AI period
The collaboration between Cisco and Pink Hat has advanced far past fundamental interoperability. At the moment, it’s a complete, deep-stack partnership that spans compute, networking, safety, and observability.
We’re seeing this maturity throughout a number of key areas:
- Compute and AI infrastructure: Via our joint work on Cisco AI PODs and Cisco Safe AI Manufacturing facility with NVIDIA, we’re offering validated architectures that permit organizations to scale AI workloads with confidence.
- Networking and automation: By embedding Ansible into the material of our networking options, we’re enabling groups to deal with community configuration as code, simplifying the administration of complicated, multicloud environments.
- Observability and safety: The synergy between Splunk and Pink Hat, mixed with Isovalent’s eBPF-powered networking and safety capabilities inside OpenShift, supplies a degree of visibility and safety that’s key for contemporary, cloud-native purposes.
See the long run in motion: The present flooring
At our Pink Hat Summit sales space, we’re bringing this imaginative and prescient to life via 4 distinct, high-impact demonstrations:
Safe multi-agents from core to edge (Cisco Safe AI Manufacturing facility with NVIDIA): We’re showcasing a Cisco Safe AI Manufacturing facility with NVIDIA for agentic fleets. Utilizing Cisco Unified Edge with high-performance GPUs for real-time edge detection and Cisco AI PODs for core LLM insights, we’ll exhibit how Cisco AI Protection supplies runtime guardrails to stop immediate injection and knowledge leakage throughout your entire lifecycle.
The sting expertise (Cisco Unified Edge and AI-powered stay hologram assistant): Attendees can work together with a hologram customer support agent powered by an OpenShift container operating domestically on Cisco Unified Edge. By using a small language mannequin (SLM) from Arcee AI, we’ll present that hyper-personalized, low-latency AI experiences can run reliably on the edge.
Unified management (Cisco Intersight and Splunk Observability Cloud): We’re debuting the brand new Cisco Intersight OpenShift plugin, offering direct visibility into UCS {hardware} well being. Attendees may also see how the Intersight Ansible assortment automates day-2 operations, whereas Splunk Observability Cloud supplies deep insights into AI agent efficiency.
Community as code (Cisco Nexus Dashboard): Our crew will exhibit the way to construct and deploy a complete VXLAN EVPN knowledge middle cloth modeled as code. By leveraging Cisco Nexus Dashboard’s REST API with Ansible, we’re showcasing a real “No-code/Low-code” strategy to infrastructure, full with GitOps and CI/CD pipeline validation.
Get skilled insights: Talking classes
Past the sales space, our consultants are taking to the stage to supply a technical deep dive into the structure powering these improvements:
- Breakout session: Inside safe AI: Eugene Minchenko (Cisco) and Stephen Malkinson (Pink Hat) are main a technical session on how Pink Hat AI Enterprise integrates with Cisco Safe AI Manufacturing facility with NVIDIA and the way the Pink Hat AI Inference Server works with Cisco Unified Edge. They’ll stroll attendees via the Cisco Unified Edge for Pink Hat Edge Design Information, offering a blueprint for deploying and optimizing AI workloads with built-in instruments and confirmed designs.
- Lightning discuss: AI made easy and security-focused: Ramya Korada (Cisco) will discover the way to speed up safe, trusted AI adoption with out operational complexity. She’ll spotlight how Cisco Safe AI Manufacturing facility with NVIDIA, along with Pink Hat, provides a constant, enterprise-grade basis for production-ready, scalable innovation, permitting groups to give attention to enterprise outcomes fairly than infrastructure administration.
Why platform considering issues
The frequent thread throughout all these demos and classes is the shift towards “platform considering.” Whether or not it’s the mixing of Splunk and Ansible for automated troubleshooting, or the compatibility of Isovalent with OpenShift, our aim is to supply a basis that’s easy to deploy on day 0, simple to function on day 1, and resilient via day N.
From planning to participation
For years, the business has been in a “planning” part with roadmaps, pilots, and theoretical architectures. Pink Hat Summit 2026 alerts that we’ve moved firmly into the “participation” part. Organizations are actually deploying AI in methods which might be sensible, safe, and aligned with their present operational realities.
Cisco and Pink Hat are dedicated to serving to make sure that as you are taking these subsequent steps, your infrastructure isn’t a bottleneck, however a catalyst for innovation.
Should you’re able to discover these options additional, we’ve developed sources that can assist you get began:
