There are many open-source projects across inference, orchestration, observability, vector search, data pipelines, evaluation, and model management. Most are relatively easy to test, but production operation is a different problem.

For those running open-source AI infrastructure in production:

* What open-source AI technologies are you using?

* Where are you running them?

* What challenges are you facing? - cost, GPU availability, security, manageability, or something else

Thanks