Topics & Intelligence
Explore by Category
Navigate the full spectrum of GPU datacenter finance and AI infrastructure topics.
Market Intelligence Architecture
Navigating AI Datacenter Economics by Domain
The AI datacenter finance landscape spans multiple interconnected domains—from GPU hardware economics and lease structures to grid interconnection queues and regional incentive programs. Our category taxonomy organizes this complexity into navigable market segments, each with dedicated data feeds, analytical tools, and strategic frameworks.
Every category connects to our proprietary indices: the GPU Lease Rate Index (GLRI) tracks pricing across 20+ providers, the Time-to-Power Score (TTPS) quantifies interconnection risk, the Curtailment Stress Score (CSS) monitors grid reliability, and the Project Attractiveness Yield (PAY) synthesizes site-level investment metrics.
Whether you're deploying capital into AI infrastructure, operating compute at scale, or advising on datacenter transactions, understanding the interplay between GPU economics, power availability, and regulatory environments is essential.
GPU Lease Rates & Costs
Explore all gpu lease rates & costs resources and data
View DataResidual Values & Depreciation
Explore detailed guides and market data
View DataColocation & Infrastructure
Explore all colocation & infrastructure resources and data
View DataLiquid Cooling & Thermal
Explore detailed guides and market data
View DataRegional Incentives & Programs
Premium analytics tool on our platform
View ToolFinancing & Economics
Explore detailed guides and market data
View DataERCOT Curtailment & Grid
Explore detailed guides and market data
View DataSite Readiness & Power/Fiber
Explore all site readiness & power/fiber resources and data
View DataGPU Availability & Supply
Explore all gpu availability & supply resources and data
View DataZoning & Permitting Risks
Premium analytics tool on our platform
View ToolWater Risk & Cooling
Premium analytics tool on our platform
View ToolFiber Latency & Network
Premium analytics tool on our platform
View ToolGPU Lease Rate Index
View real-time market data on our platform
View ToolPower-Adjusted Yield (PAY)
View real-time market data on our platform
View ToolAI-Ready Sites
Premium analytics tool on our platform
View ToolCurtailment Risk & Grid Stress
View real-time market data on our platform
View ToolInterconnection Queue Insight
View real-time market data on our platform
View ToolIndex Trackers & Hubs
Explore all index trackers & hubs resources and data
View DataMethodology & Glossary
View real-time market data on our platform
View ToolUnderstanding Categories
Category FAQ
What's the difference between Hub and Live Data categories?
Hub categories aggregate multiple content types—guides, market data, and tools—around a broad topic like GPU leasing or colocation. Live Data categories link directly to our platform tools with real-time feeds, such as the GLRI index or curtailment trackers. Hubs are ideal for learning; Live Data is for active monitoring and decision-making.
Why are some categories marked as PRO?
PRO categories provide access to premium platform features—advanced calculators, proprietary datasets, or real-time alerting. These tools require significant infrastructure to maintain and represent our deepest market intelligence. Free categories demonstrate our methodology; PRO tools unlock the full analytical capability for institutional users.
How do categories connect to your indices?
Each category maps to one or more proprietary indices. GPU-related categories connect to GLRI (pricing) and residual value curves. Power and grid categories connect to TTPS (interconnection timing) and CSS (curtailment risk). Site and regional categories integrate PAY scores that synthesize multiple indices into investment-grade metrics.
Can I use category data for investment analysis?
Absolutely. Our categories are structured to support institutional due diligence. Hub categories provide educational context and methodology. Live Data tools offer the quantitative inputs for financial models—lease rate benchmarks, queue timing estimates, risk scores, and site comparisons. Many users start in Hubs, then graduate to PRO tools as their analysis deepens.
How do you maintain data accuracy across categories?
We aggregate data from primary sources: ISO/RTO filings for power markets, SEC disclosures for public operators, equipment vendor APIs for hardware pricing, and proprietary surveys from our operator network. Each data stream has defined refresh cadences—daily for pricing feeds, weekly for queue data, quarterly for residual value curves.
Get Decision-Grade Data
Access real-time indices, calculators, and alerts built for datacenter finance professionals.
Explore Platform Tools