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. BST

Level 1 | Hall Entrance N10 | Room E
 

Write-Through Object Cache for Fleets of Global Edge Clusters

Ryan Beisner, NVIDIA

11:50 a.m. - 12:25 p.m. BST

Level 1 | Hall Entrance N10 | Room G

Panel: Engaging the KubeFlow Community: Building an Enterprise-Ready AI/ML Platform

Yuan Tang, Red Hat
Andrey Velichkevich, Apple
Andreea Munteanu, Canonical
Johnu George, Nutanix
Ronen Dar, NVIDIA

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

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. BST

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

Check the schedule to meet the experts at NVIDIA booth and ask your questions!

10:00 a.m. - 1:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Snehal Deshmukh, NVIDIA
Drop by to discuss NVIDIA for Startups

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

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. BST

Level 1 | Hall Entrance N10 | Room E

 

Scaling GPU Clusters Without Melting Down!

Alay Patel, NVIDIA
Ryan Hallisey, NVIDIA
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

1:00 p.m. - 3:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Ekin Karabult, NVIDIA
Drop by to discuss KAI Scheduler

1:00 p.m. - 4:00 p.m. BST

NVIDIA Booth S750

Meet the Experts


Ryan Hallisey, NVIDIA
Drop by to discuss KubeVirt, Kubernetes perf and scale, and DRA/Device plugins

3:00 p.m. - 4:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Alay Patel, NVIDIA
Drop by to discuss KubeVirt, Device Management, and Node Lifecycle

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

Level 1 | Hall Entrance S10 | Room B

The GPUs on the Bus Go Round and Round

Ryan Hallisey, NVIDIA
Natalie Bandel, NVIDIA
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

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

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

10:00 a.m. - 1:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Maksym Pavlenko, NVIDIA
Drop by to discuss containerd

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

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 Check the schedule to meet the experts at NVIDIA booth and ask your questions!

1:00 p.m. - 3:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Ronen Dar, NVIDIA
Drop by to discuss KAI Scheduler

1:00 p.m. - 3:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Erin Boyd, NVIDIA
Drop by to discuss DGX Cloud

1:00 p.m. - 3:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Yuan Chen, NVIDIA
Drop by to discuss AI workloads in Kubernetes using GPUs, including GPU resource management, sharing, GPU Operator, Dynamic Resource Allocation (DRA), and DGX Cloud Run:AI on CSPs

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

Level 3 | ICC Capital Suite 10-12

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

Kevin Klues, NVIDIA
Patrick Ohly, Intel
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

3:00 p.m. - 5:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Jan-Philip Gehrcke, NVIDIA
Drop by to discuss GPUs in containers and Kubernetes

3:00 p.m. - 5:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Eduardo Arango, NVIDIA

4:00 p.m. - 5:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Kevin Kleus, NVIDIA
Drop by to discuss Kubelet, device management, dynamic resource management (DRA) and see the demo: Deep Dive on the DRA driver to support Multi-Node NVLink with GB200 on Kubernetes

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

Level 0 | ICC Auditorium

Simulating Massive Clusters with KWOK

Soumya Balakrishnan, NVIDIA
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

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

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
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

10:00 a.m. - 1:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Soumya Balakrishnan, NVIDIA
Drop by to discuss service deployment and CI/CD for kubernetes based micro service

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

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
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

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

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

12:00 p.m. - 12:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Snehal Deshmukh, NVIDIA
Drop by to discuss NVIDIA for Startups

1:00 p.m. - 3:00 p.m. BST

NVIDIA Booth S750

Meet the Experts

Roman Baron, NVIDIA
Drop by to discuss KAI Scheduler

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

Level 0 | ICC Capital Hall | Room 2

Optimizing Model Serving on Kubernetes with Model Streaming

Ronen Dar, NVIDIA
Ekin Karabulut, NVIDIA
Check the schedule to meet the experts at NVIDIA booth and ask your questions!

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.

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.

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.

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.

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.

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.

Accelerate AI Workflows With Dynamic Orchestration

NVIDIA’s Run:AI platform revolutionizes AI infrastructure management, offering seamless orchestration and optimization of GPU resources. This powerful solution enables organizations to maximize their AI workload efficiency, reduce costs, and accelerate time-to-insights. With features like dynamic resource allocation, advanced scheduling, and comprehensive monitoring, Run:AI empowers data scientists and IT teams to streamline their AI development pipeline and achieve faster results.

NVIDIA Open Sources Run:ai Scheduler to Foster Community Collaboration

Introducing the Run:ai scheduler - an AI workload and GPU orchestration tool designed to manage and optimize compute resources across Kubernetes clusters -   is available as a new Apache 2.0 licensed open-source project - KAI Scheduler. KAI Scheduler is derived from, and will remain an integral piece of, the NVIDIA Run:ai platform. The company is committed to ensuring alignment with no forks or divergence and aims to foster an active and collaborative community where contributions, feedback, and new ideas are encouraged. By working with the open-source community, NVIDIA believes this project can evolve to meet the needs of various use cases, enabling further capabilities and continued innovation.

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.

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.

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.

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.

Register now to join NVIDIA at KubeCon.