Workstation class
NVIDIA RTX PRO 6000 Blackwell
96 GB GPU memory
Room for large models and long-context work on a single card.
Compute room · Dataset line · Schematic
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.
The hardware · Founder-reported
The compute behind the dataset work is NVIDIA Blackwell-generation GPUs. These are the models and memory sizes the founder reports; unit counts and benchmarks are not published yet.
Workstation class
96 GB GPU memory
Room for large models and long-context work on a single card.
Performance class
32 GB GPU memory
Blackwell consumer flagship for fine-tuning runs and dataset generation.
Founder-reported hardware, not an audited inventory. The rack animation above stays a schematic.
The dataset line
Each record keeps its source and its verdict. A missing assumption is a result, not a failure to hide.
Leases, utility bills, equipment records
Pull the fields and assumptions out
Flag gaps and inconsistent math
A person confirms what holds up
Versioned, documented dataset
Where this stands
Real cold-chain records, field knowledge and engineering help make the line worth running.