SOLUTIONS
Explore two connected jobs: tuning each model and testing whether models can safely share a device.
TWO QUESTIONS. ONE CONNECTED LOOP.
The best configuration for an isolated model may not be the right configuration for a shared GPU. Sera keeps both questions in view.
Set workload requirements, latency limits, quality floors, and a trial budget. Let the specialists propose changes and use measured trials to decide what stays.
You get A history of tested configurations and their outcomes.
Revisit the ledger for viable single-device configurations. Check memory fit, run the models together, and evaluate each model against its own limits.
You get A sharing verdict, with evidence behind the decision.
WHEN THE GOAL CHANGES
Consolidation asks a different question from solo speed. Sera reads the same ledger with a new objective and can route new constraints back to its specialists.
Trial one specialist’s lever group at a time, then consider combinations after the individual effects have been measured.
Meet the specialists ↗Memory headroom cannot establish latency under contention. A joint trial measures what happens when the workloads compete for the same device.
Explore the demo pairing ↗SEE THE LOOP IN ACTION