AI is scaling faster than operations are evolving.
Agentic AI is quickly moving from experiments into real production systems — running across hybrid infrastructure, Kubernetes clusters, GPUs, storage, networks, and data pipelines.
But while AI systems are becoming more autonomous, the operational foundations underneath them are still fragmented.
Many organization leaders believe they have the visibility and control they need. The practitioners running these environments often see something different: blind spots across hybrid systems, rising AI job failures, and infrastructure that wasn’t built for machine-scale workloads.
Human-scale operations were never designed for machine-scale autonomy.
Join us for pizza and a candid conversation
We’re bringing together a small group of Dallas-area infrastructure, SRE, and platform leaders for an informal dinner roundtable.
Over pizza and drinks, we’ll have a candid conversation about what’s actually happening inside AI-driven environments — what’s working, what’s breaking, and what needs to evolve as agentic AI becomes operational reality.
What we’ll dig into
- Why AI agents struggle with traditional monitoring approaches
- The shift from tool-centric dashboards to unified operational context
- How teams are aligning executive AI ambitions with operational reality
- What Model Context Protocol (MCP) changes for production environments
- Architecture patterns emerging across hybrid and multi-cloud systems
- What practitioners should be preparing for now as AI workloads scale
Format
- Small-group roundtable over pizza
- Guided themes grounded in real operational challenges
- Peer exchange with other practitioners running complex environments
- Minimal slides. Maximum candor.
Come hungry, bring your perspective, and be ready to share what’s working (and what’s breaking) in your environment. If you’re being asked to scale AI on infrastructure that already feels stretched and you want a real conversation with peers (not another slide deck), this roundtable is for you.