NVIDIA at KubeCon and CloudNativeCon NA 2024

NVIDIA at KubeCon and CloudNativeCon Europe 2025

April 1-4
ExCeL London, UK

This year, NVIDIA is a proud sponsor of KubeCon and CloudNativeCon Europe 2025, held at ExCeL London, April 1-4. The event will feature multiple groundbreaking sessions from NVIDIA speakers highlighting our many contributions to the cloud-native computing ecosystem.

We'd love to hear what you're working on. Stop by booth S750 or find us in the below sessions, in working groups, SIGs, summits, KubeCrawl, or the hallway track. See you out there.

Schedule at a Glance

Explore a wide range of groundbreaking sessions 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.

11:15 a.m. - 11:40 a.m. GMT

Level 1 | Hall Entrance N10 | Room E
 

Write-Through Object Cache for Fleets of Global Edge Clusters

Ryan Beisner, NVIDIA

3:04 p.m. - 3:09 p.m. GMT

Platinum Suite | Level 3

Project Lighting Talk: Extend Language Model Training Beyond Single Kubernetes Cluster

William Wang, NVIDIA

3:50 p.m. - 4:20 p.m. GMT

Level 1 | Hall Entrance N10 | Room G

AI, CERN, and the Quest for GPU Custody: How CERN Leverages DRA for Efficient GPU Sharing

Jan Philip Gehrcke, NVIDIA

Diana Gaponcic, CERN

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

Level 3 | ICC Capital Suite 7-9

Advancements in AI/ML Inference Workloads on Kubernetes from WG Serving and Ecosystem Projects

Carlos Arango Gutierrez, NVIDIA

RedHat

11:15 a.m. - 11:40 a.m. GMT

Level 1 | Hall Entrance N10 | Room E
 

Scaling GPU Clusters Without Melting Down!

Alay Patel, NVIDIA

Ryan Hallisey, NVIDIA

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

Level 1 | Hall Entrance S10 | Room B

The GPUs on the Bus Go Round and Round

Ryan Hallisey, NVIDIA

Natalie Bandel, NVIDIA

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

Level 1 | Hall Entrance S10 | Room A

Optimizing Training Performance for Large Language Model (LLM) in Kubernetes

William Wang, NVIDIA

Peng Gu at Tech Starup

11:00 a.m. - 11:30 a.m. GMT

Level 1 | Hall Entrance S10 | Room B

A Practical Guide to Benchmarking AI and GPU Workloads in Kubernetes

Yuan Chen, NVIDIA

Chen Wang, IBM and RedHat

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

Level 3 | ICC Capital Suite 10-12

Kubernetes WG Device Management - GPUs, TPUs, NICs and More With DRA

Kevin Klues, NVIDIA

Patrick Ohly, Intel

5:10 p.m. - 5:15 p.m. GMT

Level 0 | ICC Auditorium

Simulating Massive Clusters with KWOK

Soumya Balakrishnan, NVIDIA

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

Platinum Suite | Level 3 | Room 3-4

containerd: Project Update and Deep Dive

Maksym Pavlenko, NVIDIA

Akihiro Suda, NTT

Laura Brehm, Docker

Samuel Karp, Google

Jiaxiao Zhou, Microsoft

11:00 a.m. - 11:30 a.m. GMT

Level 1 | Hall Entrance N10 | Room E

Beyond Kubernetes: Adapting to specialized application workloads

Rags Srinivas, Moderator

Dawn Chen, Google

Sachi Desai, Microsoft

Erin Boyd, NVIDIA

11:45 a.m. - 12:15 p.m. GMT

Level 3 | ICC Capital Suite 14-16

Cloud Native AI: Harness the Power of Advanced Scheduling for High-Performance AI/ML Training

William Wang, NVIDIA

Xu Zheng, Huawei

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

Level 0 | ICC Capital Hall | Room 2

Optimizing Model Serving on Kubernetes with Model Streaming

Ronen Dar, NVIDIA

Ekin Karabulut, NVIDIA

Explore NVIDIA Solutions

NVIDIA NIM Agent Blueprints

NVIDIA NIM™ Agent Blueprints are reference workflows for canonical generative AI use cases. Enterprises can build and operationalize custom AI applications—creating data-driven AI flywheels—using NIM Agent Blueprints along with NVIDIA NIM microservices and NVIDIA NeMo™ framework, all part of the NVIDIA AI Enterprise Platform.

Learn About the NIM Agent Blueprints

NVIDIA AI Platform

Explore the latest community-built AI models with APIs optimized and accelerated by NVIDIA, then deploy anywhere with NVIDIA NIM inference microservices.

Instantly Deploy Generative AI With NVIDIA NIM

NVIDIA NIM Operator

NVIDIA NIM Operator, a Kubernetes operator designed to facilitate the deployment, scaling, monitoring, and management of NVIDIA NIM microservices on Kubernetes clusters. With NIM Operator, you can deploy, auto-scale, and manage the lifecycle of NVIDIA NIM microservices with just a few clicks or commands.

Learn About NVIDIA NIM Operator

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

Get the Best of NVIDIA AI in the Cloud

NVIDIA DGX™ Cloud is a high-performance, fully managed AI platform that provides optimized accelerated computing clusters on any cloud with flexible term lengths and access to NVIDIA experts to fast-track AI initiatives.

Learn About DGX Cloud

Open for Development: NVIDIA Works With Cloud-Native Community to Advance AI and ML

As a member of CNCF since 2018, NVIDIA is working across the developer community to contribute to and sustain cloud-native open-source projects. Our open-source software and more than 750 NVIDIA-led open-source projects help democratize access to tools that accelerate AI development and innovation.

Learn About how NVIDIA Empowers the Cloud-Native Ecosystems

Programs and Technical Training

NVIDIA Program for Startups

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.

Join NVIDIA and AWS Startup Mixer at KubeCon

NVIDIA Training and Certification

Develop the skills you and your team need to do your life’s work in AI, accelerated computing, data science, graphics & simulation, and more. Validate your skills with technical certification from NVIDIA.

Explore NVIDIA Training

Access Free Tools, Training, and Experts Community

Join our free NVIDIA Developer Program to access training, resources, and tools that can accelerate your work and advance your skills. Get a free credit for one of our self-paced courses when you join.

Join Today

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

Register now to join NVIDIA at KubeCon.

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