NVIDIA at KubeCon and CloudNativeCon Europe

Name: KubeCon and CloudNativeCon Europe 2025
Start: 2025-04-01T00:00:00-00:00
End: 2024-04-04T23:59:00-00:00

March 23–26
Amsterdam, Netherlands

Introduction
Schedule
Solutions
Programs

Introduction
Schedule
Solutions
Programs

Visit KubeCon

This year, NVIDIA is a proud sponsor of KubeCon and CloudNativeCon Europe 2026 at the RAI Amsterdam March 23–26. The event will feature groundbreaking sessions from NVIDIA speakers highlighting our many contributions to the cloud-native computing ecosystem. Stop by our booth #241 to chat with NVIDIA experts, and tell us what you’re working on.

Schedule at a Glance

Explore a wide range of innovative sessions and demos in the field of AI, accelerated computing, networking, and more. Take a closer look at the scheduled NVIDIA sessions that are part of this year’s program.

March 24
March 25
March 26

11:15-11:45 a.m. CET

No Pain No Drain: Lessons From Node Drains at Scale

Ryan Hallisey, NVIDIA
Natalie Bandel, NVIDIA
Forum

3:15-3:45 p.m. CET

Amplifying End User Voices: Platform Architects on the Future of Kubernetes

Kevin Klues , NVIDIA
Rajas Kakodkar, VMWare
Amine Hilaly Amazon
Dawn Chen, Google
Zach Shepherd, VMWare
Hall 7, Room C

4:15-4:45 p.m. CET

Towards building an Open Source AI Reference Stack for EU Sovereign Cloud

Sanjay Chatterjee, NVIDIA
Madhav Bhargava, SAP
Hall 7, Room C

4:15-4:45 p.m. CET

Slinky Expanded: Slurm, Kubernetes, and DRA

Marlow Warnicke, NVIDIA
Praveen Krishna, Google
Auditorium

4:15-4:45 p.m. CET

SIG API Machinery: SIG Updates and Deep Dive in the AI/ML Era

Stefan Schimanski, NVIDIA
E103-105

5:00-5:30 p.m. CET

SIG Network: The State of Networking for AI on Kubernetes

Nadia Pinaeva, NVIDIA
Shane Utt, Red Hat
Haiyan Meng, Google
David Martin, Red Hat
Etai Lev Ran, IBM
E103-105

3:00-3:30 p.m. CET

Improving Pod Disruption and Node Lifecycle

Ryan Hallisey, NVIDIA
Lucy Sweet, Uber
Filip Křepinský, Red Hat
F002-005

5:30-6:00 p.m. CET

Let Your Network Speak!

Nadia Pinaeva, NVIDIA
Joel Takvorian, Red Hat
G102-103

11:45 a.m. - 12:20 p.m. CET

KubeVirt on GB200: Virtualizing a Rack-Scale Supercomputer

Kevin Klues, NVIDIA
Fan Zhang, NVIDIA
Alay Patel, NVIDIA
Cloud Native Theater, Halls 1-5

12:55-1:05 p.m. CET

Measuring KubeVirt Performance and Scale With KWOK

Sreeja Varnam, NVIDIA
Halls 1-5

1:45-2:15 p.m. CET

KubeVirt's Evolution: Governance, Features, and Community Growth

Sreeja Varnam, NVIDIA
E103-105

3:15-3:45 p.m. CET

k8s-sigs NFD × SYLVA: Declarative Image-to-Node Compatibility for Telco Clouds

Eduardo Arango Gutierrez, NVIDIA
Chaoyi Huang, Huawei
Hall 8, Room D

Explore NVIDIA Solutions

NVIDIA Cloud-Native Technologies

From the data center and cloud to the desktop and edge, NVIDIA Cloud-Native Technologies provide the ability to run deep learning, machine learning, and other GPU-accelerated workloads managed by Kubernetes on systems with NVIDIA GPUs. They also allow the seamless deployment and development of containerized software on enterprise cloud-native management frameworks.

Learn About Cloud-Native Technologies

NVIDIA Dynamo—Dynamically Scale and Serve AI With Distributed Inference

NVIDIA Dynamo is an open-source inference software for accelerating AI model deployment at AI-factory scale. Using disaggregated serving, Dynamo breaks inference tasks into smaller components, dynamically routing and rerouting workloads to the most optimal compute resources available at that moment.

Explore NVIDIA Dynamo

KAI Scheduler

KAI Scheduler is the open-source Kubernetes scheduler designed to manage large-scale GPU clusters and optimize resource allocation from interactive jobs to large-scale training and inference workloads. Built with advanced features like gang scheduling, hierarchical queues, and workload consolidation, it maximizes GPU utilization while maintaining fairness across teams.

Learn About KAI Scheduler

Open Source at NVIDIA

NVIDIA drives open source innovation by releasing their technologies to the community. This equips developers—solo builders or scaling companies—with tools to create breakthrough applications using accelerated computing.

Explore Open Source Projects

Programs and Technical Training

Accelerate Your Startup

NVIDIA Inception provides thousands of members worldwide with access to the latest developer resources, preferred pricing on NVIDIA software and hardware, and exposure to the venture capital community. The program is free and available to tech startups of all stages.

Learn More and Apply

Grow Your Skills With NVIDIA Learning Paths

Build expertise in AI, accelerated computing, and graphics. Follow structured, role-based skill development, learn through hands-on labs and real-world projects, and earn industry-recognized certifications.

Explore NVIDIA Training

Get Certified. Get Ahead.

Get certified by NVIDIA and turn your skills into industry-recognized proof of expertise and commitment to continuous learning.

Learn more about NVIDIA Certification

Like No Place You’ve Ever Worked

Working at NVIDIA, you’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots, self-driving cars to blockbuster movies, you’ll experience it all. Plus, there’s a growing list of new opportunities every single day. Explore all of our open roles, including internships and new college graduate positions.

Learn more about our current job openings, as well as university jobs.

Explore Here