Compute room · Dataset line · Schematic
Where the evidence gets cooked.
The direction: GPUs on hardware we control, turning messy cold-chain documents into datasets and evaluations people can inspect. Below is a schematic of that pipeline in motion.
Illustrative simulation. Random motion, example rows. Not live telemetry, not our hardware inventory, not measured performance.
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The dataset line
Documents in. Checked records out.
Each record keeps its source and its verdict. A missing assumption is a result, not a failure to hide.
- 1
Intake
Leases, utility bills, equipment records
- 2
Extract
Pull the fields and assumptions out
- 3
Check
Flag gaps and inconsistent math
- 4
Review
A person confirms what holds up
- 5
Publish
Versioned, documented dataset
records.jsonlexample rows · tick 0
- Utility bill → average load 10 kW, rate $0.12/kWhinputs present, math reproducesChecks out
- Pro forma → “refrigeration included in NNN charges”no equipment age or service recordGap found
- Listing sheet → “state-of-the-art cold storage”claim with no evidence attachedRejected
- Equipment log → compressor service dated, interval stateddated, sourcedChecks out
Where this stands
Direction, not a deployed datacenter.
- The GPU motion on this page is a schematic. A small, real, re-checked sample of the dataset output is on the Datasets page.
- The motion above is simulated. The rows are made-up examples of what a check looks like.
- We’ll publish real datasets, methods and evaluation results in the open repository as they hold up.
Got documents, datasets, or compute know-how?
Real cold-chain records, field knowledge and engineering help make the line worth running.