Find each model’s balance.
Three investigators inspect evidence, propose changes, and review each other’s findings. The arbiter selects the next GPU experiment.
PRODUCT
A specialist team.
A shared understanding.
Follow how Sera turns workload requirements into proposals, trials, and decisions you can inspect.
MEET YOUR RESEARCH TEAM
Different perspectives.
Better-informed decisions.
Three investigators bring different areas of expertise to shared evidence. They inspect traces, compare proposals, and revise the next experiment from measured results.
THE MEMORY SPECIALIST
Smaller footprint.
Quality still comes first.
Inspect memory use and context demand. Propose supported cache and context settings; keep the quality and performance gates fixed.
KV-cache precisionContext limitsMemory budget
RESEARCH PRINCIPLE
If memory isn’t the bottleneck, the specialist can say so. A useful answer doesn’t always require a change.
FROM EXPERIMENT TO EVIDENCE
Good instincts.
Measured decisions.
Fitting in memory is a start.
Running well together is the test.
Bring them together.
Sera checks memory fit, then runs both models on one shared device. Each model must still meet its own limits.
Keep the whole story.
Weave records outputs, measurements, and agent decisions. Investigators read those traces in later rounds. ARIA provides an optional, separate review of the completed run.
A MEASURED AGENT LOOP
Three investigators.
A faster configuration.
Three Astra investigators read Weave traces, reviewed each other’s proposals, and completed three search rounds. Prefix caching and graph execution reduced p95 latency by 19.77% on eight warmed, repeated tasks.
See demo resultsMEASURED RUNQwen2.5-72B · FP8 weights
Baseline p95771.05 ms
Selected p95618.59 ms
Answer checks8 / 8 passed
WHAT THE LOOP LEARNED
Graph execution alone did not beat prefix caching. The final combination won. A fresh request through the returned runner passed, then Sera closed the runner. ARIA provided a separate post-run review.
SEE THE LOOP IN ACTION