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 are you running, for what workload, and would you recommend? - Do you operate yourself versus consume as a managed service? - Have you replaced or abandoned any tools because they were too difficult...