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Luca Berton speaking at Platform Engineering Meetup NL at Xebia Amsterdam
Platform Engineering

Platform Engineering Meetup NL: Multi-Tenant

I am presenting 'Lessons Learned Orchestrating Multi-Tenant GPUs on OpenShift AI with NVIDIA KAI' at the first Platform Engineering Meetup NL in Amsterdam.

LB
Luca Berton
Β· 3 min read

First Platform Engineering Meetup NL

I am excited to announce that I am speaking at the inaugural Platform Engineering Meetup NL at Xebia in Amsterdam β€” Wibautstraat 200 β€” on Wednesday, April 22, 2026.

This is the first edition of a community meetup focused on the Dutch platform engineering scene, and the lineup brings together two topics that are increasingly relevant for modern engineering organizations: controlling infrastructure cost and operating shared AI platforms at scale.

πŸ‘‰ RSVP on Meetup β†’

My Talk: Lessons Learned Orchestrating Multi-Tenant GPUs on OpenShift AI

How do you run shared, production-grade GPUs for AI/ML safely and efficiently?

In this experience report, I share lessons learned from implementing multi-tenant GPU orchestration on OpenShift AI using NVIDIA KAI on G/H200 hardware, fronted by Traefik and backed by Dell Technologies platforms.

What I Cover

  • Tenant isolation patterns β€” namespaces, quotas, and priority classes for safe multi-tenancy
  • Scheduling across heterogeneous nodes β€” mixing GPU types without manual node selection
  • MIG versus full-GPU trade-offs β€” when to partition, when to dedicate
  • Throughput versus latency tuning β€” optimizing for inference SLAs vs training throughput
  • Driver and firmware pitfalls β€” the bugs you only find in production
  • Upgrade and rollback strategies β€” zero-downtime GPU driver updates
  • Day-2 operations β€” observability, autoscaling, and chargeback models

This talk builds directly on my KubeCon Europe 2026 presentation on multi-tenant GPUs and my Red Hat Summit 2026 lightning talk β€” but goes deeper into the operational lessons that only emerge after months of running GPU workloads in production.

Also Speaking: Cloud Cost Optimization at Scale

The evening kicks off with Darko Klincharski (DevOps Engineering Lead at Tarmac.io) presenting β€œData Hoarder’s Guide to Surviving Cloud Bills” β€” a real-world case study on reducing AWS spend for a platform serving 700 million users. Practical strategies for managing petabytes of static data, high-traffic volumes, and large database cleanup.

Event Details

DetailInfo
EventPlatform Engineering Meetup NL β€” Edition 1
DateWednesday, April 22, 2026
Time18:00 - 21:00
LocationXebia, Wibautstraat 200, Amsterdam
FoodPizza and drinks provided

Agenda

  • 18:00 β€” Arrival with pizza and drinks
  • 18:45 β€” Talks and discussion
  • 20:30 β€” Last round of drinks
  • 21:00 β€” Building closes

Who Should Attend

  • Platform engineers and SREs
  • DevOps engineers and cloud architects
  • Engineering managers and CTOs
  • Anyone working on Kubernetes, cost optimization, developer platforms, or AI infrastructure

Why This Matters

Platform engineering is no longer just about CI/CD pipelines and developer portals. The rise of AI workloads has added a new dimension: GPU orchestration is now a platform engineering problem. Teams need to share expensive hardware across multiple tenants, enforce quotas, provide self-service access, and deliver observability β€” all while keeping costs under control.

This meetup sits at exactly that intersection: cloud cost management meets AI platform operations.

If you are in Amsterdam, come say hello. I would love to discuss GPU multi-tenancy, platform engineering patterns, or anything cloud native.

πŸ‘‰ RSVP on Meetup β†’


Want to discuss GPU platform engineering for your organization? I help enterprises design multi-tenant GPU platforms on Kubernetes and OpenShift.

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