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Panel: Beyond the Clouds: Charting the Course for AI in the CloudNative World

name:adhuri
links:none on file
name:Cathy
links:none on file
slides:none on file

CNCF working group releases a white paper (≈20 pages) and commits to a targeted reference architecture and a CloudNative AI landscape that uses OCI registries to store model artifacts alongside container images; plans include a constrained cuFlow-style playground, a GPU topology-aware scheduler plus fractional‑GPU sharing and real‑time GPU‑metric autoscaling, and wasmEdge at the edge to split inference between small local models and centralized LLMs. Time to converge is urgent—industry risk of bespoke stacks within months.

AI-written summary · about

  1. 0:00Panelist introductions
  2. 1:44AI workload challenges
  3. 2:52Open source AI infrastructure
  4. 6:36OCI artifacts for AI
  5. 8:46Profiling AI apps
  6. 12:00AI platform market trends
  7. 14:05Working Group goals
  8. 16:31Observability for AI workloads
  9. 20:49Open source AI innovations
  10. 24:26End user priorities
  11. 25:11Building AI-cloud projects
  12. 26:37WebAssembly at edge
  13. 28:25Edge and core AI infrastructure
  14. 30:33Standards for AI workloads
  15. 30:57Hardware vendor collaboration Q&A
  16. 34:31Summary
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