SUSECON 2026: A Look at Day Three

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Day three at a glance

  • Wednesday’s keynotes covered resilient infrastructure from AI to edge, led by SUSE leaders and partners, including Fujitsu, Dell and NVIDIA
  • Dr. Thomas Di Giacomo and Rhys Oxenham laid out a blueprint for building resilient, modern infrastructure across hybrid environments
  • SUSE and industry partners, including AWS, Fsas Technologies, n8n, Revenium and Stacklok are delivering secure agentic AI for infrastructure management via MCP
  • Switch and SUSE advanced their digital twin innovation with NVIDIA, powering massive AI Factories and high-performance data centers on shared NVIDIA AI Infrastructure
  • SUSE announced SUSE Industrial Edge, its purpose-built industrial IoT platform built on the Losant acquisition

If Monday set the tone and Tuesday built momentum, Wednesday was where things became real at SUSECON 2026.

We had three major announcements, a day packed with keynotes and a tech showcase to make it clear that the conversation shifted to execution. The energy in the room today was more expansive, more forward-looking and more focused on what happens when you put all of the ideas we discussed on Monday and Tuesday into production. 

If you weren’t in Prague this week, here’s what you missed.

Keynotes on Optimizing AI, MCP as the new API, and the convergence of everything with AI

The morning opened with Dr. Thomas Di Giacomo, SUSE’s CTPO, and Rhys Oxenham, GM of SUSE AI, walking through what it takes to build resilient, modern infrastructure today. 

Leaders from SUSE, Pepsi and Switch showed how Linux and Kubernetes are used as the base for hybrid environments to run AI workloads alongside critical enterprise apps. Their approach reduces fragmentation, accelerates timelines, and enables organizations to scale AI initiatives without refactoring their whole stack.

NVIDIA and the convergence of infrastructure and AI

NVIDIA’s John Fanelli, VP of Enterprise Software, discussed how infrastructure and AI are converging rapidly as new workloads are adding an AI component. Fujitsu’s EMEA CTO, Udo Wuertz, then took the keynote stage to reinforce the partner perspective before he shifted back to SUSE’s AI vision. For enterprises, this means infrastructure decisions are factoring in the impact of AI on speed and competitiveness.

Optimizing the Stack with SUSE for AI Architecture and MCP

Returning to walk through the specifics of what AI-ready infrastructure looks like in practice, Abhinav Puri, General Manager of Portfolio and Community, Rick Spencer, General Manager of Engineering, and Rhys Oxenham covered how to optimize your whole stack while building toward new AI capabilities. Notably, discussing the emerging trend of MCP as an open standard and why SUSE is positioning Linux and Kubernetes as the platform for AI workloads. The session was grounded in real architecture decisions, which made it one of the most action-packed hours of the week.

Dell on modern storage freeing resources for innovation

Dell’s Drew Schulke, VP of Product Management, followed with a keynote on storage trends for resilience, covering utilization, capacity and modern approaches to virtualization as AI workloads start driving new demands on infrastructure. The main takeaway was that getting storage right is what frees up resources for actual innovation.

Pushing boundaries from the Tiny Edge to the Industrial floor

The day’s keynote program closed with a bang as Keith Basil, General Manager of SUSE Edge, and Charlie Key, SUSE Director of Growth and Strategy for Industrial Platforms, presented a full vision of edge that sits as close as all the countless devices around us. They walked through Far, Near and Tiny Edge with live demos. Customers took to the stage to show real-world outcomes. Bart Barry Wehmiller from the Margo Group joined as a partner speaker, rounding out a session that connected the edge platform story all the way down to the industrial floor.

The takeaway from day three is that organizations are moving from experimentation to production. The leaders who succeed will be the ones who can unify infrastructure, AI, and operations into a single, scalable platform.

Those that do will reduce operational complexity, accelerate time to market and unlock new revenue opportunities driven by AI and real-time data.

Key announcements that move AI to production

Wednesday also brought a significant wave of news from SUSE. Here are the exciting updates you missed: 

  • Switch and SUSE Advance Digital Twin Innovation with NVIDIA: As a global leader in high-performance infrastructure, Switch powers the world’s most sophisticated AI pioneers. By leveraging SUSE AI, built on SUSE Rancher Prime and SUSE Linux Enterprise Server, alongside NVIDIA Omniverse libraries, Switch delivers highly accurate digital twins of its massive data centers. This unified platform enables Switch to seamlessly orchestrate a new class of enterprise workloads, including language models, simulation and rendering, on a single, enterprise-grade infrastructure.
  • SUSE Industrial Edge: Built on the Losant platform acquired earlier this year, SUSE Industrial Edge is SUSE’s purpose-built industrial IoT platform, unifying operational data and enterprise intelligence across industrial environments.
  • SUSE and Industry Leaders Deliver Secure Agentic AI for Infrastructure Management: SUSE and industry partners, including AWS, Fsas Technologies, n8n, Revenium and Stacklok are integrating MCP across the SUSE portfolio, giving AI agents a secure way to monitor, troubleshoot and optimize infrastructure across any Linux or Kubernetes distribution.

 

The best is yet to come

Beyond the keynotes and announcements, the tech showcase kept the entire floor busy on day three of SUSECON, and the breakout sessions went even deeper.

One more day to go. Follow us on LinkedIn to catch every moment, and check out this video for more highlights from today.

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Stacey Miller Stacey is a Principal Product Marketing Manager at SUSE. With more than 25 years in the high-tech industry, Stacey has a wide breadth of technical marketing expertise.