@dgm.america: How many users can your model handle? Find out before launch day. One person chatting with it proves nothing. Launch day is a hundred requests landing at once. In osFoundry.io a benchmark runs against your deployed model. You set the concurrency — how many requests hit it at the same time — and the context length, because long prompts weigh more on the GPU. Step the load up. When more users stop adding speed and the waits start climbing, you've found its real capacity. The results are saved as a GPU profile for that model, so the sizing is on record, not in someone's head. And it's honest: point it at a local model and it refuses with a clear message to benchmark that one from the client. GPU time is billed while the endpoint runs. osFoundry is a paid workspace. Send this to whoever's planning launch day. #LLM #LoadTesting #MLOps #osFoundry
