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Asked: May 26, 2026In: Salesforce
Demo orgs usually assume perfect data, linear flows, and cooperative users.Production orgs rarely behave this way once real pressure, volume, and edge cases appear.Many Salesforce issues surface only after go-live, not during demos.
I upgraded to a GPU with much more VRAM.I increased the batch size to use the available memory.Now the training is noticeably slower per epoch.There are no errors, but performance feels worse than before.
My deployed model isn’t crashing or throwing errors.The API responds normally, but predictions are clearly wrong.There are no obvious logs indicating failure.I’m unsure where to even start debugging.
Asked: November 4, 2025In: Cloud & DevOps