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Gerra — Hourly, cross-provider GPU rental price panel normalised to USD per single GPU-hour and matched chip-for-chip via a canonical-SKU mapping that collapses heterogeneous marketplace instance spellings (e.g. '8x H100 80GB SXM5' → H100_SXM_80GB). Companion tables add provider capacity snapshots (total, available, rented instances per SKU) and inference token pricing, and a third layer joins the GPU-hour price series to AI-infrastructure equities, options implied volatility and DePIN compute tokens.. High-density panel from a tiny producer: ~262K price observations per six-month sample and …
Datasets
1Hourly, cross-provider GPU rental price panel normalised to USD per single GPU-hour and matched chip-for-chip via a canonical-SKU mapping that collapses heterogeneous marketplace instance spellings (e.g. '8x H100 80GB SXM5' → H100_SXM_80GB). Companion tables add provider capacity snapshots (total, available, rented instances per SKU) and inference token pricing, and a third layer joins the GPU-hour price series to AI-infrastructure equities, options implied volatility and DePIN compute tokens.
Scale 262From 2 yearsCoverage Financials · Information Technology
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What buyers ask about Gerra, answered from this page.
What does Gerra do?
Gerra — Hourly, cross-provider GPU rental price panel normalised to USD per single GPU-hour and matched chip-for-chip via a canonical-SKU mapping that collapses heterogeneous marketplace instance spellings (e.g. '8x H100 80GB SXM5' → H100_SXM_80GB). Companion tables add provider capacity snapshots (total, available, rented instances per SKU) and inference token pricing, and a third layer joins the GPU-hour price series to AI-infrastructure equities, options implied volatility and DePIN compute tokens.. High-density panel from a tiny producer: ~262K price observations per six-month sample and …
What data does Gerra offer?
Gerra offers (Alternative, Price, Supply Chain) — 262,146 price observations in the six-month reference sample; 40 providers × 33 canonical SKUs at hourly granularity for spot and on-demand across AWS 17 + Azure 57 regions plus marketplace geo strings; companion tables of 1,366 utilisation rows and 2,397 inference token-price quotes spanning 381 models; row-level provenance (source URL, collection method, raw payload pointer) on every record.
What is Gerra's data used for?
Alternative-data signal generation: hourly GPU spot prices and capacity tightness as a leading indicator of AI-infrastructure capex, data-center buildouts and accelerator chip demand, tradable against AI-infra equities and options; cross-provider arbitrage and workload placement (priciest-to-cheapest gap and coefficient of variation per SKU/region); benchmarking and forecasting internal training/inference cost curves; inference cost-per-token modelling across 381 models; neocloud and hyperscaler pricing strategy; and supply-tightness monitoring for procurement and capacity commitments.
How is Gerra's data delivered?
The data is with 2 years of history.
What does Gerra cover?
Coverage spans US; Financial Exchanges & Data, IT Consulting & Other Services; alternative, price, supply_chain; equities, options, crypto.
How do I get a sample from Gerra?
The supplier's own access route is a contact form. Request a sample through Brickroad to start.
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