Breakouts
BRK2-121 • Kubernetes, Cloud Runtimes • Technical
AI at Snap's scale: Building a global compute fabric with GKE custom compute classes
location_on
Jasmine A
schedule
1:30 PM - 2:15 PM
Hyperscale infrastructure hits a wall when integrating AI into global service meshes. To orchestrate obtainability-constrained accelerators, Snap and Google Cloud engineered a fundamental shift in Google Kubernetes Engine (GKE) scaling. In this session, we’ll reveal the architecture of custom ComputeClasses, a feature born from Snap’s requirements that is now a standard part of GKE. Join us to learn to architect a mesh that mixes diverse AI compute resources to overcome supply constraints and scale workloads. And leave with the blueprint for optimizing performance and capacity at planetary scale on GKE.
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