Transparent Methodology & Robust Engineering

Trust requires transparency. Discover the institutional-grade data engineering, rigorous filtering, and forward-looking valuation models driving A1 Benchmarks.

1. The Data Pipeline

A1 Benchmarks utilizes a continuous, automated extraction and processing engine to pull raw compute pricing data from across the global GPU ecosystem.

Data Ingestion: Our ingestion engine aggregates live spot and term pricing across 15+ verified decentralized (DePIN), NeoCloud, and Hyperscaler compute providers. Data is incrementally fetched, strictly version-controlled, and validated for integrity before entering the pipeline.

Provider Classification: Not all compute is equal. Providers are systematically classified into functional tiers (Hyperscaler, NeoCloud, DePIN) based on network maturity and historical SLA compliance. This allows our downstream models to apply appropriate risk and liquidity weightings.

flowchart LR subgraph Sources [Data Sources] H(Hyperscalers) N(NeoClouds) D(DePIN) end I{{"Data Ingestion"}} C{"Classification"} P[("Core Pipeline")] H --> I N --> I D --> I I --> C C -->|"SLA & Risk Weighting"| P classDef default fill:#1C1F26,stroke:#3A414A,stroke-width:2px,color:#E3E8EF; classDef source fill:#2A3F4C,stroke:#12E2C3,stroke-width:2px,color:#E3E8EF; classDef process fill:#1C1F26,stroke:#E3C664,stroke-width:2px; classDef storage fill:#1C1F26,stroke:#12E2C3,stroke-width:2px; class H,N,D source; class I,C process; class P storage;

2. Price Discovery & Volume Estimation

A simple average (or median) of listed prices fails to reflect true market dynamics. Our methodology ensures the benchmark tracks deep market liquidity.

Volume Estimation: We derive true daily liquid volume by anchoring macro quarterly capacity estimates and mapping them to daily throughput using robust statistical distributions. This ensures the benchmark tracks true market depth, not just listed inventory that isn't actively trading.

Volume-Weighted Average Price (VWAP): We discard simple and median averages. Our core spot metric is a true VWAP, heavily weighting prices backed by significant daily compute volume. This effectively filters out low-tier outliers, anomalous pricing spikes, and stale listings, revealing the true market floor accessible to enterprise buyers.

3. Risk-Adjustment & Survivability

A raw spot price is insufficient for risk management without understanding preemption and stock-out risks. Our risk-adjustment models calculate the true cost of compute by factoring in historical interruption probabilities.

Rolling Survivability: We track historical stock-outs and preemption events at the provider-hardware level. Using advanced survival analysis—including hazard rates, Nelson-Aalen estimators, and Weibull distributions—we model the exact probability of a workload being interrupted during its lifecycle.

Implied Risk Premium: The raw spot price is adjusted based on these preemption probabilities to calculate implied premiums across 1-hour, 6-hour, and 24-hour continuous execution horizons.

Conceptual: Nelson-Aalen Survivability Curves

4. Volatility & Term Forward Curves

Volatility Tracking: We measure compute market turbulence using rolling volatility models (including Exponentially Weighted Moving Average and GARCH variations). This allows buyers to quantify pricing risk and hedge against sudden cost spikes.

Term Forward Curves: By comparing real-time spot rates against 1-year and 3-year term commitments, we construct a compute yield curve. This forward curve provides critical signals on whether the GPU market is in contango or backwardation, driving long-term capital expenditure decisions.

5. The Global Compute Index (GCI) Construction

Strict Inclusion Criteria: To eliminate pricing noise and illiquidity, the index only includes ultra-liquid assets supported by a minimum of 3 institutional-grade providers and sustaining at least $1,000,000 in daily spot volume. If an asset can't be reliably sourced, it doesn't make the cut.

Volume-Weighted Precision: Instead of arbitrary equal weighting or a single-day snapshot, components are strictly volume-weighted based on their average daily volume over the preceding quarter to reflect sustained market demand and economic throughput.

Forward-Looking Rebalancing: The AI landscape moves at lightning speed. The index undergoes a rigorous quarterly rebalancing schedule to seamlessly incorporate next-generation architectures while phasing out obsolete hardware, ensuring the benchmark remains state-of-the-art.

Historical Anchoring: Incepted on July 1, 2026 with a standardized base value of 1,000.00, the index provides a clean, easily trackable baseline for institutional investors, arbitrageurs, and cloud aggregators to measure compute inflation and volatility.

flowchart TD A("Global GPU Universe") --> B{"Daily Vol > $1M?"} B -- No --> X["Excluded"] B -- Yes --> C{"3+ Providers?"} C -- No --> X C -- Yes --> D("Eligible Universe") D --> E["Quarterly Volume-Weighting"] E --> F(("Global Compute Index (GCI)")) classDef default fill:#1C1F26,stroke:#3A414A,stroke-width:2px,color:#E3E8EF; classDef decision fill:#1C1F26,stroke:#E3C664,stroke-width:2px; classDef exclude fill:#1C1F26,stroke:#8E949F,stroke-width:2px,color:#8E949F; classDef final fill:#2A3F4C,stroke:#12E2C3,stroke-width:2px,color:#E3E8EF; class B,C decision; class X exclude; class F final;