If you have 100 different customers, each with a custom-tuned LoRA adapter, do you need 100 different GPU clusters? How would you serve them efficiently on one cluster?

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You don't need 100 clusters. Modern serving engines (like LoRAX or vLLM) can keep the "Base Model" in VRAM and swap tiny LoRA adapters (which are only a few megabytes) in and out in milliseconds, allowing one GPU to serve 100 different "custom" models.

If you have 100 different customers, each with a custom-tuned LoRA adapter, do you need 100 different GPU clusters? How would you serve them efficiently on one cluster?

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