2 October 2026 · 7 min read
Ollaya puts the decision model on your machine. Check the checkpoint before you trust it.
Ollaya answers typed questions in about 10 ms on a local GPU, and its API copies the hosted one. The speed is real, but the default checkpoint is near chance on some tasks, and that's where most people will start.
By Dr. Aki Wijesundara, TAI Labs
Most teams still route a support ticket the same way. They send the text to a chat model, ask for one word back, and parse whatever comes out. It works, but you're paying for a generation loop to produce a single label. Ollaya, an open-source runtime that its own site marks as Beta, starts from the opposite assumption. It serves decision models, which read a text plus a list of typed questions and return probabilities, and it does that on your own hardware.
A decision doesn't need the model to write anything
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