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SOLUTIONS

The right configuration.
The right place to run it.

Explore two connected jobs: tuning each model and testing whether models can safely share a device.

TWO QUESTIONS. ONE CONNECTED LOOP.

Tune the model.
Then rethink the hardware.

The best configuration for an isolated model may not be the right configuration for a shared GPU. Sera keeps both questions in view.

PHASE 01 / INDIVIDUAL OPTIMIZATION

How should each model run?

Set the workload, quality floor, and progress threshold. The swarm proposes, reviews, and measures candidates until a valid stop condition. The demo has no fixed total trial cap.

ProposeMeasureValidate

You get A tested configuration, a usable runner, a saved report, and replay downloads.

PHASE 02 / CO-RESIDENCY

Can two models share a GPU?

Revisit the ledger for viable single-device configurations. Check memory fit, run the models together, and evaluate each model against its own limits.

FitRun togetherGate

You get A sharing verdict, with evidence behind the decision.

WHEN THE GOAL CHANGES

Keep the evidence.
Revisit the decision.

Consolidation asks a different question from solo speed. The demo can optimize latency, then throughput. Each stage starts from the previous winner and remeasures it. Set k=3 to allow at most 3% regression in the earlier objective.

SERVING CONFIGURATION

Keep changes attributable.

Trial one specialist’s lever group at a time, then consider combinations after the individual effects have been measured.

Meet the specialists ↗
SHARED HARDWARE

Test the neighbors together.

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

Pick a model. Press Run.

useseraai.com/notebook — a live marimo notebook running the real loop.

Run the demo