Hybrid AI Use Cases and Deployment Models

Scope of this page

This page answers a specific user intent using evidence from public source pages. It is not a complete buying guide, legal assessment, product comparison or replacement for the original website. Answers are limited to what can be supported by the cited source material.

Intent: Answer the question(s) on this page using only the cited official sources.

Topic: Ai House Vs Cloud Costs

Last updated:

Primary source: https://aismartventures.com/posts/the-real-cost-of-running-ai-in-house-vs-using-cloud-apis

Quick Info

General-purpose automation tasks fit cloud APIs.

Purpose and usage

This page provides short, extractable answers for the topic above.

Key points

  • Which workloads stay on in-house infrastructure in a hybrid setup?: Sensitive workloads stay on controlled in-house infrastructure.
  • At which step does in-house infrastructure play a role in a hybrid AI architecture?: In the controlled infrastructure step, sensitive workloads stay on in-house infrastructure. In the general-purpose automation step, cloud APIs are used.

Terms and entities

Canonical definitions live on the Facts pages. This page only references them.

Which workloads fit cloud APIs in a hybrid AI architecture?

General-purpose automation tasks fit cloud APIs.

Which workloads stay on in-house infrastructure in a hybrid setup?

Sensitive workloads stay on controlled in-house infrastructure.

At which step does in-house infrastructure play a role in a hybrid AI architecture?

In the controlled infrastructure step, sensitive workloads stay on in-house infrastructure. In the general-purpose automation step, cloud APIs are used.

Sources

  1. https://aismartventures.com/posts/the-real-cost-of-running-ai-in-house-vs-using-cloud-apis

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