Training is a one-time event. Inference never stops.
A model is trained once, or refreshed now and then.
But once people use it, inference runs every time someone asks it something, for as long as the product exists.
That makes the compute behind a live AI feature an ongoing consideration, not a launch-week one, and it's why flexibility in how you access that compute matters over time.
Plan for the phase that lasts.
Explore the marketplace → https://aitech.io/compute-marketplace
Post #5661
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