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Machine Learning Start Ups Coming Out of Israel
You never scale down to zero in that case, because it's always there. Another approach is to just deploy one model, or a small number of models, in one selver and then, right size, they're compute resourcessed. You know, use fractions of a gpu instead of a whole gPU. So still, you get, you have one gp u that you're paying for, it's up and running, and then you youl o many mode data ready to cive requests using that p that makes sense.