NVIDIA at KubeCon + CloudNativeCon North America 2026
November 9–12
Salt Lake City, Utah
Salt Palace Convention Center
This year, NVIDIA is a proud sponsor of KubeCon and CloudNativeCon North America 2026 at the Salt Palace Convention Center November 9–12. The event will feature groundbreaking sessions from NVIDIA speakers highlighting our many contributions to the cloud-native computing ecosystem. Stop by our booth #170 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 fields of AI, accelerated computing, networking, and more. Take a closer look at the scheduled NVIDIA sessions that are part of this year’s program.
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November 9
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November 10
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November 11
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November 12
8:30 a.m.–12 p.m. MT
NVIDIA AI Inference Technical Deep Dive
Technical sessions and live demonstrations covering deployment, load testing, scaling, and platform operations. The morning program does not include individual attendee labs.
Radisson Hotel Salt Lake City Downtown, Wasatch Ballroom—2nd Floor
1–4:30 p.m. MT
A hands-on working session where participants collaborate with maintainers, work directly in open source repositories, and begin or advance a contribution.
Radisson Hotel Salt Lake City Downtown, Wasatch Ballroom—2nd Floor
2:43–2:48 p.m. MT
11:30 a.m.–12 p.m. MT
New Traffic, New Rules: Standardizing AI-Aware Networking in Kubernetes
Nir Rozenbaum, NVIDIA
Keith Mattix, Solo.io
Morgan Foster, Red Hat
Salt Palace, Level 2, 251 D-F
11:30 a.m.–12 p.m. MT
One Recipe, Five Clouds, One Query: Portable GPU Configuration With a Queryable Audit Layer
Yuan Chen, NVIDIA
Christopher Haar, Upbound
Hyatt Regency, Level 2, Salt Lake Ballroom C
12:20–12:50 p.m. MT
If It's Shared, It's Vulnerable: Is Kubernetes the Right Platform for Confidential Compute?
Zvonko Kaiser, NVIDIA
Hyatt Regency, Level 2, Salt Lake Ballroom DE
2:50–4:10 p.m. MT
Beyond One Model per GPU: Agent-Driven Placement for Maximum GPU Utilization on Kubernetes
Weiqi Sun, NVIDIA
Vivek Kolasani, NVIDIA
Felipe Garcia, NVIDIA
Ajay Vohra, AWS
Ratnopam Chakrabarti, AWS
Hyatt Regency, Level 4, Regency A
2:50–3:20 p.m. MT
Feeding the GPU: Streaming Data Into Training, Lakehouse, and Serving Without the Serialization Tax
Dheeraj Kapur, NVIDIA
Deepak Choudhary, NVIDIA
Hyatt Regency, Level 4, Regency B-D
2:50–3:20 p.m. MT
How Kubernetes Handles AI Generated Security Reports
Nathan Herz, NVIDIA
Vyom Yadav, Canonical
Salt Palace, Level 2, 250 D-F
3:40–4:10 p.m. MT
N Clusters, One kubectl: Multi-Cluster That Just Works
Scott Brimhall, NVIDIA
Anne Lau, Salesforce
Hyatt Regency, Level 2, Salt Lake Ballroom C
2:08–2:28 p.m. MT
End-User Panel: KubeFlow Enterprise Use Cases-Solutions
Ekin Karabulut, NVIDIA
Vara Bonthu, AWS
Michael Zazula, Capital One
Chase Christensen, Wiz
Salt Palace, Level 1, Halls 1-5, Cosmic Canyon
2:20–2:50 p.m. MT
When GPUs Become NUMA Nodes: Challenges Running Kubernetes With Memory-Coherent Hardware
Kevin Klues, NVIDIA
Balbir Singh, NVIDIA
Salt Palace, Level 1, 151
2:34–2:39 p.m. MT
Topograph - Your AI Cluster's Missing Live Transit Map
Dmitry Shmulevich, NVIDIA
Hyatt Regency, Level 4, Regency B-D
2:55–3 p.m. MT
5,000 Nodes in Minutes, Twice in a Week: A Pattern for Fleet-Wide Node Changes
Alex Yuskauskas, NVIDIA
Hyatt Regency, Level 4, Regency B-D
5–5:30 p.m. MT
The Future of Kubernetes Eviction and Node Lifecycle
Ryan Hallisey, NVIDIA
Lucy Sweet, Anthropic
Filip Křepinský, Red Hat
Salt Palace, Level 2, 251 A-C
11:00–11:30 a.m. MT
Beyond Dashboards: A Semantic Layer for AI-Driven Observability in Kubernetes
Pronnoy Goswami, NVIDIA
Salt Palace, Level 1, Grand Ballroom BDF
11:50 a.m.–12:20 p.m. MT
Deep Dive Into the DRA Driver for NVIDIA GPUs: What Works Today, What’s Coming and Why It Matters
Shiva Krishna Merla, NVIDIA
Varun Ramachandra Sekar, NVIDIA
Hyatt Regency, Level 2, Salt Lake Ballroom DE
1:50–2:20 p.m. MT
Explore TAG Workloads Foundation: Core Runtime, Batch Scheduling, and Moar
Marlow Warnicke, NVIDIA
Yuan Tang, Red Hat
Stephen Rust, Akamai Cloud
Paco Xu, DaoCloud
Rajas Kakodkar, Broadcom
Salt Palace, Level 2, 251 A-C
1:50–2:20 p.m. MT
From Maintenance Chaos to Steady Uptime: GitOps-Driven Scheduling Across GPU Fleets
Natalie Bandel, NVIDIA
Soumya Balakrishnan, NVIDIA
Hyatt Regency, Level 4, Regency B-D
2:40–3:10 p.m. MT
Fake It Until You Make It: Mocking NVML to Test the Kubernetes GPU Stack on Zero GPUs
Eduardo Arango Gutierrez, NVIDIA
John Belamaric, Google
Hyatt Regency, Level 4, Regency B-D
Don’t Miss This NVIDIA Workshop: AI Infrastructure, Built in the Open
Build, scale, stress, and improve a production AI platform on Kubernetes through a hands-on workshop—available as either a half-day or full-day program on Monday, November 9.
Designed for Kubernetes platform engineers, AI infrastructure operators, application developers, and open source contributors.
Explore NVIDIA Solutions
Programs and Technical Training
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.
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