Hosting tradeoffs
Comparing **hosted APIs**, **managed endpoints** (e.g., Bedrock-style model hosting), and **self-hosting open weights**—ops burden vs control. Terms and data-use rules differ by lane (paid vs unpaid Gemini quotas; Bedrock abuse detection...
What it is
Comparing hosted APIs, managed endpoints (e.g., Bedrock-style model hosting), and self-hosting open weights—ops burden vs control. Terms and data-use rules differ by lane (paid vs unpaid Gemini quotas; Bedrock abuse detection windows; etc.). Literacy only—verify current docs.
<!-- IMAGE: three columns: API / managed / self-host with privacy vs ops axes -->
Visual Spec & Architecture Diagram
Tradeoff matrix: SaaS API / managed VPC / self-host GPU — axes cost, control, compliance, ops burden.
Why it matters
Wrong hosting choice creates surprise bills, surprise retention, or surprise outages. Gemini Additional Terms (effective March 23, 2026 per fetched text) distinguish unpaid vs paid data-use narratives; AWS Bedrock terms describe abuse-detection retention for certain models. Always re-read before production.
How it works (plain)
Score: capability, privacy, ops skill, traffic shape, compliance region, exit options. Revisit quarterly. Pair with license literacy if you self-host weights.
Everyday example
Renting a kitchen, leasing a ghost kitchen, or owning a restaurant—same food idea, different staffing and inspection loads.
Try it
Score your use case 1–5 on privacy need and ops capacity; pick a hosting lane; list the primary terms URL you must re-check.
Myths
- ⚠️ Myth: Self-hosting is always cheaper.
- ✓ Reality: People and idle GPUs are costly.
- ⚠️ Myth: Managed hosting removes AUP risk.
- ✓ Reality: You still own prompts, tools, and user content choices.
Sources
- Gemini API Additional Terms: https://ai.google.dev/gemini-api/terms ↗
- AWS Service Terms (Bedrock / AI Services): https://aws.amazon.com/service-terms/ ↗
- OpenAI Service Terms: https://openai.com/policies/service-terms/ ↗
- Anthropic Privacy Center: https://privacy.anthropic.com/en/ ↗
- Course 24 serving; Course 17 MLOps
