Token Plant
Many models, one machine
TurnVector lets several AI models share one Apple Silicon machine, keeping every conversation responsive.
- Status
- In development
- Qualification
- 12 lanes, 385 cases
The problem
A company rarely runs one model. A drafting model, a search model and a screen-reading model all want the same Mac, and the one a person is waiting on should not stall behind a long batch job.
The approach
TurnVector gives each model short, bounded turns on the machine. Interactive answers stay fast, the machine is shared fairly between models, and throughput comes last, never at the cost of the first two.
It is written in Rust and qualified by a separate benchmark of 12 lanes and 385 cases, which never counts a missing feature as a pass.
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Tell us what the work is, what data you keep and where it has to run. We reply within two business days.
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