~/talk

Keynote: Enabling AI with Cloud Native

slides:none on file

Highlights hardware and orchestration work that makes generative AI run on cloud native stacks: GPU/TPU/FPGA slicing via KEPs and dynamic resource allocation, batch and massively parallel scheduling at production scale (examples include Kubernetes 1.24 job tracking and Kubernetes 1.26 100,000 concurrent pods), deployments across ~20,000-node clusters and ~100,000 jobs per minute, and projects to watch: Volcano, Kubeflow, Carada, KubeEdge and the topology KEPs such as Kep 3545.

AI-written summary · about

  1. 0:00Introduction
  2. 0:28Jorge Castro Introduction
  3. 2:24Next Trillion Core Hours
  4. 3:37What does Open look like
  5. 4:02Kubernetes mindset
  6. 4:44Hardware enablement
  7. 6:46Application development
  8. 7:33Integrations
  9. 8:05New Primitives
  10. 8:25Kubernetes is already the web server
  11. 8:47scrambling up the stack
  12. 9:11multiple organizations
  13. 9:38building a scaffolding
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