Loading…
In-person
November 12-15
Learn More and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon North America 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
← Back to schedule
From Vectors to Pods: Integrating AI with Cloud Native - Rajas Kakodkar, Broadcom; Kevin Klues, NVIDIA; Joseph Sandoval, Adobe; Ricardo Rocha, CERN; Cathy Zhang, Intel
Friday November 15, 2024 2:00pm - 2:35pm MST
Salt Palace | Level 2 | 255 E
The rise of AI is challenging long-standing assumptions about running cloud native workloads. AI demands hardware accelerators, vast data, efficient scheduling and exceptional scalability. Although Kubernetes remains the de facto choice, feedback from end users and collaboration with researchers and academia are essential to drive innovation, address gaps and integrate AI in cloud native. This panel features end users, AI infra researchers and leads of the CNCF AI and Kubernetes device management working groups focussed on: - Expanding beyond LLMs to explore AI for cloud native workload management, memory usage and debugging - Challenges with scheduling and scaling of AI workloads from the end user perspective - OSS Projects and innovation in AI and cloud native in the CNCF landscape - Improving resource utilisation and performance of AI workloads The next decade of Kubernetes will be shaped by AI. We don’t yet know what this will look like, come join us to discover it together.
Speakers
avatar for Ricardo Rocha

Ricardo Rocha

Lead Platforms Infrastructure, CERN
Ricardo leads the Platform Infrastructure team at CERN with a strong focus on cloud native deployments and machine learning. He has led for several years the internal effort to transition services and workloads to use cloud native technologies, as well as dissemination and training... Read More →
avatar for Kevin Klues

Kevin Klues

Distinguished Engineer, NVIDIA
Kevin Klues is a distinguished engineer on the NVIDIA Cloud Native team. Kevin has been involved in the design and implementation of a number of Kubernetes technologies, including the Topology Manager, the Kubernetes stack for Multi-Instance GPUs, and Dynamic Resource Allocation (DRA... Read More →
avatar for Joseph Sandoval

Joseph Sandoval

Principal Product Manager, Adobe
Joseph Sandoval, a seasoned tech expert with 25 years in various roles running distributed systems, infrastructure platforms and thrives on empowering developers to scale their applications. An advocate for OpenSource software, he harnesses its transformative power to champion change... Read More →
avatar for Cathy Zhang

Cathy Zhang

senior principal engineer, Intel
As a member of the CNCF TOC, Cathy has been sponsoring and guiding projects' applications for graduation/incubating, and reviewing/approving new sandbox projects. She has been a committee member for several KubeCon. Cathy is a currently Senior Principal Engineer at Intel, leading... Read More →
avatar for Rajas Kakodkar

Rajas Kakodkar

Staff Software Engineer at Broadcom | Tech Lead CNCF TAG Runtime, Broadcom
Rajas is a staff software engineer at Broadcom and a tech lead of the CNCF Technical Advisory Group, Runtime. He is actively involved in the AI working group in the CNCF. He is a Kubernetes contributor and has been a maintainer of the Kube Proxy Next Gen Project. He has also served... Read More →
Friday November 15, 2024 2:00pm - 2:35pm MST
Salt Palace | Level 2 | 255 E
  AI + ML
  • Content Experience Level Any

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Tweet Share
Share Modal

Share this link via

Or copy link