Running Kubernetes at Enterprise Scale in the Age of AI
In the age of AI, infra is evolving even faster than before and expectations toward platform owners are rising. Workloads are more dynamic, compute is less predictable, and engineering teams expect instant access to production-like environments for development and testing. Whether your organization is on the cutting edge of AI operating GPU clusters at scale or your enterprise software engineers are coding faster than ever with AI coding agents, infra owners must design platforms ready for these rapidly changing compute demands.
In this panel discussion, leaders from JP Morgan Chase, NVIDIA, and vCluster Labs discuss what it takes to run Kubernetes at AI and enterprise scale. From provisioning clusters in seconds to balancing autonomy with guardrails, we’ll explore how modern platform teams accelerate developer workflows while ensuring resilience, governance, and portability.
We’ll discuss:
Provisioning clusters in seconds to unblock engineers and enable them to move faster
Testing close to production using real infrastructure rather than localhost
Supporting burstable workloads — from CI to GPU-accelerated compute
Designing Kubernetes clusters for enterprise-grade operations and resilience
Optimizing infra operations and cost across data centers and regions, as infra supply and compute demands continue to evolve
Space will be limited for this very popular event. Reserve your seat by March 20!
AGENDA
7:00 – 7:40 PM: Check-in & Networking (Food & Drinks)
7:45 – 8:10 PM: Panel Discussion
8:15 – 9:15 PM: The Upside Down Experience
SPEAKERS
Felipe Del Piccolo, Principal Cloud Software Engineer, JPMorganChase
Everett Lacey, Product Architect, NVIDIA DGX at NVIDIA
Lukas Gentele, Co-founder / CEO vCluster