Technical branch for developers Plan the rollout
What can realistically be done locally on a local AI workstation?
sober analysis of a local AI factory: what’s already possible on a workstation, where the boundaries of the local pipeline lie, and how to pick your first automation process.
Core of the topic
sober analysis of a local AI factory: what’s already possible on a workstation, where the boundaries of the local pipeline lie, and how to pick your first automation process.
What’s important to take
- sober analysis of a local AI factory: what’s already possible on a workstation, where the boundaries of the local pipeline lie, and how to pick your first automation process.
How to apply in practice
Use the material as a starting point: define the task, scope the application area, select a quality metric, and validate the result on a small-scale scenario before production deployment.
Release Navigation
- 00:00 Local Machine, No Myths
- 00:19 What’s already working
- 00:43 Where is the local video boundary?
- 01:08 Why is the toolchain important?
- 01:37 How to select the first local process
- 02:02 Short conclusion