Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.
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Featuring:
Show Notes:
Our locally installed stuff:
Where we see AI workflows running:
Experimentation / model development:
Pipelining and automation:
Serving:
Monitoring/visibility:
Something missing or broken? PRs welcome!
