Hybrid OnPrem + Cloud Architectures
summary
Claim: hybrid architectures cut long‑term AI and mission‑critical costs by moving heavy training to cloud and predictable inferencing on‑prem, with banks running GPU inferencing successfully to make OPEX near zero. Evidence: cloud can drive costs up to 5x more expensive despite faster revenue per FTE, Amazon Snowmobile moves exabytes faster than networks, and 37signals saves millions by leaving cloud. Tools and patterns cited: Terraform Ansible Kubernetes Docker, EC2, Azure ML, trusted execution environments.
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chapters (9)
- 0:00Hybrid on-prem and cloud intro
- 3:12Why hybrid matters
- 8:49Cloud vs on-prem history
- 14:06TCO in hybrid decisions
- 18:27Four hybrid strategies
- 23:27Hybrid with AWS examples
- 28:27Hybrid in agentic AI age
- 33:00Real-world hybrid examples
- 36:13Hybrid vs cloud vs on-prem
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