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November 12-15
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Making Kubernetes Simpler for Accelerated Workloads - Susan Wu, Google; Lucy Sweet, Uber; Mitch McKenzie, Weave; Aditya Shanker, Crusoe
Wednesday November 13, 2024 4:30pm - 5:05pm MST
Salt Palace | Level 2 | 255 EF
Kubernetes and the open-source ecosystem for AI frameworks have been great for LLM innovation, empowering developers to build applications that use natural language as the interface to data. Yet, many developers and cluster operators struggle to put these frameworks into production use. In this session, hear from several platform engineers responsible for designing core infrastructure supporting accelerated workloads, services, large language model training and inference pipelines. You can expect to come away with guidance, hear of pitfalls to watch out for and learn how they successfully abstracted the infrastructure complexity to improve their research users' experience and velocity. Panelists include: Lucy Sweet, Senior Software Engineer (Infrastructure), Uber, Mitch McKenzie, Site Reliability Engineer - Machine Learning Operations, Weave, Susan Wu, Outbound Product Manager, Google
Speakers
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avatar for Susan Wu

Susan Wu

Outbound Product Manager, Google
Susan is an Outbound Product Manager for Google Cloud, focusing on GKE Networking and Network Security. She previously led product and technical marketing roles at VMware, Sun/Oracle, Canonical, Docker, Citrix and Midokura (part of Sony Group). She is a frequent speaker at conferences... Read More →
avatar for Lucy Sweet

Lucy Sweet

Senior Software Engineer at Uber, Uber
Lucy is a Senior Software Engineer at Uber Denmark who works on software infrastructure
MM
Wednesday November 13, 2024 4:30pm - 5:05pm MST
Salt Palace | Level 2 | 255 EF
  AI + ML

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