Training ML models usually doesn’t have the same uptime requirements as production systems. If your training goes down for a bit, it probably won’t make much di

Training ML models usually doesn’t have the same uptime requirements as production systems. If your training goes down for a bit, it probably won’t make much difference to the underlying business, in most cases. That’s why the author found it glaringly obvious that it should be brought in-house. It’s often both the most costly and most “in-housable” compute work involved in these companies.