Collatr is an independent verification and intelligence firm for large-scale compute. We bring operator-grade knowledge of GPU fleets, cluster systems, and hardware economics to the lenders, investors, insurers, and rating agencies that now depend on them.
Large fleets are systems, not line items. Our work rests on the disciplines it takes to run them.
Modern fleets emit device-level data as a matter of basic operations: utilization, power draw, thermals, error activity. We know what these signals mean, what they miss, and how they can mislead.
A GPU’s productive value depends on what surrounds it: interconnect fabric, power contracts, cooling, and the software that keeps utilization high. We evaluate clusters as operating systems of hardware, not inventories.
Depreciation, refresh cycles, generational transitions, and residual value. The distinction between replacement cost and value in use, measured rather than assumed.
Serial-level sampling, site inspection standards, and evidence protocols built for third-party reliance. Independent measurement points, cross-checked.
Daily tracking of rental and resale prices across public GPU marketplaces. Observable series for assets that are usually marked by negotiated schedules.
Demand decomposed by counterparty: whose workloads run on the fleet, whose capital funds the purchases, and how much of the order book stands at arm’s length.
We work with lenders, structured-credit investors, insurers, and rating agencies.
Deal-time evaluation of compute assets and the systems around them, delivered under a published methodology and built for the credit file.
Ongoing, covenant-grade reporting through the life of a facility. Independent measurement, on a schedule, with defined escalation.
Price series, datasets, and published analysis of the compute economy, maintained continuously rather than assembled per engagement.
We rely on cross-checked signals from sources no single party controls. No one’s self-reported data is ever load-bearing on its own.
Our standards are public and versioned. Findings state what agreed with what, under which methodology. Precision about what was checked is the product.
We work for the party relying on the answer. We do not trade, broker, or take positions in the assets we assess.
Our research is public. The datasets behind it are maintained daily.
The operator’s view of the fastest-growing collateral class in credit. Email for an advance copy.
Daily capture across public marketplaces. A public data layer is in preparation; contact us for early access.
Collatr was founded on a simple premise: the expertise that runs the world’s largest compute fleets should also serve the institutions that finance them.
Our founders built and ran machine-learning infrastructure at hyperscale: the fleets, data platforms, and telemetry systems this asset class is made of. Collatr’s methods come from that side of the industry: measurement-first, systems-level, and skeptical of any number that arrives without instrumentation behind it.
For engagements, research access, or an advance copy of the current note: