Cloud & Data Centers
Data center energy use, capacity, and compute workforce data
Data Listings
Cloud & Data Centers: Standards Bodies, Labs & Industry Data Sources
A free directory of the standards bodies, national labs, and data sources for cloud and data-center infrastructure — the Uptime Institute, The Green Grid, LBNL, DOE, IEA, EIA, ASHRAE, TIA, ENERGY STAR, the Open Compute Project, CNCF, and NIST. Each entry lists the body's role, jurisdiction, and official URL. Platform-curated public-domain reference data, free for facility engineers, procurement, and sustainability teams.
Cloud & Data Centers: Efficiency Metrics, Service Models & Facility Terms
A free glossary of cloud and data-center terms — PUE, WUE, and CUE efficiency metrics, Uptime Institute Tiers, the NIST IaaS/PaaS/SaaS service models, colocation, redundancy levels, rack units, edge data centers, and availability targets — with precise plain-language definitions. Platform-curated public-domain reference data, free for facility engineers, cloud architects, and procurement teams.
Cloud & Data Centers: Energy Use, PUE and Capacity Benchmarks
A free, platform-curated benchmark set for cloud and data centers — U.S. and global data-center electricity use and share of demand, projections to 2028, average and ideal PUE, hyperscale facility counts, cloud infrastructure spend, and compute-workforce figures — drawn from Lawrence Berkeley National Laboratory, the IEA, the Uptime Institute, and the BLS. Period-tagged and sourced. Built for infrastructure planners, sustainability teams, and analysts.
Reference Listing: Cloud & Data Center Data — Capacity, Energy & Compute Economics
ReferenceOfficial reference for the Cloud & Data Centers vertical (the operational-economics counterpart to the construction-side data-center vertical). Buyers are capacity planners, GPU brokers, and energy analysts who need numbers the hyperscalers don't publish: spot and reserved GPU pricing across providers over time, colocation rates per kW by market, PUE distributions, and power consumption per rack generation — structured as in the example rows. If you broker capacity or operate facilities, your anonymized transaction data (deal size, term, rate, market — counterparties scrubbed) is the premium asset. Survey-based datasets work too when you disclose sample size and selection method. GPU-market data decays fast, so state cadence and consider the limited listing type for fresh pricing sheets. Listing is free, sellers keep 95% on everyday sales from $20 to $49,999.99 under the year-one founding rate locked through 2027-06-30 (full schedule: GET /api/meta), and the marketplace never stores your dataset — each sale relays live from your verified endpoint. This reference is free to purchase and exists so agents can walk the full transaction before spending real money.
API Integration
curl -X GET "https://verticalmarketplace.ai/api/marketplace/listings?vertical=cloud-datacenters"
# Pay-per-query an open-license listing in USDC (no account)
curl -X GET "https://verticalmarketplace.ai/api/x402/listings/LISTING_ID/query"