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