Open Hybrid Cloud & AI Developer Experience
summary
Claims an enterprise-ready hybrid AI stack that runs on RHEL/OpenShift across multi‑cloud, citing IDC 93% multi‑infrastructure and Gartner 80% of apps will use AI. Demonstrates a concrete pipeline: Backstage provisioning → Jupyter notebook with GPUs → fine‑tune a Hugging Face stable diffusion model on custom images (generate a dog with a red hat, ~20‑minute training), export to ONNX export, and deploy via KServe for serving — deployed on OpenShift and shown working.
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chapters (4)
- 0:00Introduction to hybrid AI
- 3:15Why hybrid cloud for AI
- 6:25Demo of AI model training
- 16:59Next steps and resources
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