From Multicloud to Edge Native: Distributed, intelligent & secure
summary
Claims a move from multicloud to edge-native with concrete tooling: Kubernetes (Tanzu/TKG, BYOH container-cluster API and TCE demo running on x86 and ARM), registry and CRD extensions (Harbor, OpenYurt), and an EdgeXFoundry China implementation with 20+ contributors and 1,300 WeChat community members. Presents a federated ML stack (OMLP) built on Project FATE for encrypted local training and aggregated models running as containers on multi‑cloud/edge. Cites 75% of enterprise data born at the edge by 2025 and publishes code and demos on GitHub.
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chapters (15)
- 0:00Intro
- 0:28VMware overview
- 1:14Open source projects
- 2:24Drivers from multicloud
- 3:30Massive application migration
- 5:00Multicloud edge collaboration
- 5:25New generation of requirements
- 6:07VMwares perspective
- 7:52VMware tensor platform
- 9:55Ajax Foundry
- 13:50ACE
- 15:05ACE Ecosystem
- 16:56Summary
- 17:45QA
- 18:03Wrap up
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