Post 5 — Deployment & Use Across Cloud/Code Servers
Goal: Show real-world examples.
Structure:
Table of deployments:
Cloud Role Example
AWS Bedrock Flow packet ledgering Market simulations
Google Vertex AI GPU flow training Light mechanics modeling
Azure OpenAI LLM-to-flow bridge SQL/Python hybrid view
RunPod Distributed GPU Neural field visualization
Hugging Face Hub Model sync Shared pattern spaces
Include diagrams: how each cloud connects to Universal Flow Ledger.
Show cross-API compatibility (REST, Python SDK, JS SDK).
Example: simulate a “16-scientist” run across clouds with live data logs.
Wrap-up with: “It’s not multi-cloud — it’s flow-cloud.”
Taglines:
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