Skip to content

Validation motion

Three weeks from first call to a report your team can defend.

The evidence is produced on your own fleet, under your own workload, with a baseline arm running alongside. No claim depends on trusting ours.

01Week 1

One hour technical scoping call

Workloads, power envelope, rack density and the single success metric your team will be held to. No procurement, no commitment.

02Weeks 2 and 3

In node baseline and paired A and B run

ADAPT runs driver adjacent on your own fleet with no access to your workload. A baseline arm runs alongside the managed arm under an equal power cap.

03End of week 3

Measurement and verification report

Per GPU die power, tokens per watt and throughput, on your hardware, with the method written out so your own engineers can re-derive it.

General cases

Who runs this, and what they take away.

Three general cases: how each kind of operator would use the three weeks. The figures come from the measured H100 NVL run; your own report replaces them with figures from your fleet, published by name only with your written permission.

General case

GPU cloud operator

A neocloud selling reserved capacity against a fixed power contract. ADAPT runs driver adjacent on a production cluster with a baseline arm alongside.

Takes away a per GPU power and tokens per watt report sized to its own envelope, set beside the measured run of up to 21% less GPU die power.

General case

Enterprise AI programme

An in house cluster shared between training and inference, where the power cap arrives before the compute plan does.

Takes away released headroom it can schedule against, measured on its own cluster, with the reference run's up to +22% tokens per watt, derived, in balanced mode, beside it.

General case

Colocation campus

A multi tenant site whose tenants want more IT load inside the same contracted capacity, without new switchgear.

Takes away the headroom each tenant arm releases inside the contracted capacity, set out in a measurement and verification report per tenant, in the same three weeks.

Measurement discipline

What the report states, and how.

Size it firstRead the case studies
Instrumented quantity
GPU die power, sampled continuously.
Reference run
The run held a baseline arm at an equal power cap, whose value is released with the assessment. The result was re-derived in house from the raw archive, against the nearest archived reference, to within 0.4 percentage points.
Window
A continuous 48 hour window, not a selected excerpt.
Measured result
Up to 21% power reduction on eight H100 NVL GPUs with GPUs 0 to 5 managed, plus up to 22% more tokens per watt as a derived figure and no throughput change in the run.
Access
Driver adjacent and reversible. No access to workloads, models or data.