AI Model Benchmark

Full Benchmark

This is the go-to path when inference optimization is critical enough to justify time and budget for deeper investigation.

We deliver a structured, in-depth evaluation designed to replicate your real production setup to clearly identify if there’s meaningful room for optimization and what kind of ROI you can expect.

It all starts with a short intake: the Benchmark Request Document, where we collect:

• The context needed to avoid wrong assumptions and align on success criteria

• Your technical environment: hosting provider, hardware, serving framework

• Your inference setup: latency targets, batch size, evaluation metrics, custom logic

How it works:

• A dedicated ML Research Engineer handles the benchmark over several days

• We open a Slack or Discord channel for async collaboration and updates

• We explore multiple optimization scenarios, based on your constraints and goals (memory saving, cost reduction, low latency…).

• We evaluate different quality metrics with clear trade-off insights

• You receive a benchmark report with results, lessons learned and methodology

• We walk you through the findings and recommendations in a live session.