Computable GPU Index (CGI)

Product Introduction

1. Definition: The Computable GPU Index (CGI) is an open-source, verifiable price index for on-demand GPU compute. It is a mathematically robust benchmark that calculates a USD price per GPU-hour for specific hardware SKUs (e.g., NVIDIA H100, H200).
2. Core Value Proposition: CGI exists to solve the critical lack of a transparent, trusted reference rate in the GPU compute commodity market. It provides a single, reproducible number for GPU pricing, enabling price discovery, contract benchmarking, and financial transparency for a market currently plagued by opacity and inconsistent quotes.

Main Features

1. Open-Source Methodology & Code: The entire index calculation pipeline, from data collection to final print, is publicly available on GitHub. This includes the collector scripts that scrape published rates and the calculation engine that computes the index value, ensuring full auditability.
2. Fixed Panel & Automated Data Collection: The index is computed from a fixed, published panel of major cloud and GPU rental providers. An automated system collects their publicly listed on-demand rental prices every 15 minutes, ensuring the data is current and consistently sourced.
3. Interquantile Mean Calculation (Vote Averaging): The core technical innovation is the calculation method. Each provider in the panel casts a "vote" weighted by its market presence at its published price. The index value is the mean of only the central third of these votes (an interquantile mean), making the result inherently resistant to outliers and manipulation.
4. Full Data Provenance & Reproducibility: Every data point used in the calculation is timestamped, sourced, and stored. Any published index value can be independently recomputed from this public record using the open-source code, guaranteeing verifiable and reproducible results.
5. Multi-Format Accessibility (Live Index, API, MCP): The index is accessible through a live web dashboard with historical charts, a Model Context Protocol (MCP) server for direct integration into AI agents and development workflows, and a public repository for manual verification, catering to both human analysts and automated systems.

Problems Solved

1. Pain Point: Lack of Price Transparency in GPU Compute. There is no industry-standard benchmark, leading to widespread price confusion, inefficient procurement, and difficulty in valuing compute assets for rental, resale, or financing.
2. Target Audience: Compute Procurement Managers, Cloud FinOps Teams, AI/ML Researchers budgeting for training, GPU Rental Marketplace Operators, Financial Institutions offering compute-backed loans, and Quantitative Analysts needing reliable data for models.
3. Use Cases: Benchmarking vendor quotes for cost optimization, settling financial derivatives or forward contracts on compute, performing mark-to-market valuation of GPU cluster inventories, providing a trusted data feed for AI agent tooling, and conducting market research on cloud GPU pricing trends.

Unique Advantages

1. Differentiation: Unlike proprietary or "black-box" indexes, CGI's radical transparency (open data, open method, open code) sets it apart. It does not ask for trust but enables verification. Its fixed-panel, rules-based methodology contrasts with surveys or negotiated rate estimates.
2. Key Innovation: The application of a robust statistical measure (interquantile mean) to create a manipulation-resistant commodity index for digital infrastructure. By discarding the highest and lowest third of weighted "votes," the index neutralizes the impact of anomalous pricing from any single provider, whether due to error or strategic behavior, ensuring the published number reflects the stable market consensus.

Frequently Asked Questions (FAQ)

1. How is the Computable GPU Index calculated? The CGI is calculated as the interquantile mean (the average of the middle third) of weighted price "votes" from a fixed panel of GPU providers. Automated scripts collect each provider's published on-demand USD-per-hour rate every 15 minutes. These rates are weighted, sorted, and the mean of the central band is published as the index.
2. Can the Computable GPU Index be manipulated by providers? The methodology is specifically designed to be outlier-resistant. Because the index averages only the central third of the weighted price distribution, a single provider attempting to drag the price up or down from the extremes has no direct mathematical effect on the final computed value.
3. What GPU models does the Computable GPU Index track? As of its launch, the CGI publishes independent indexes for key data center GPUs including the NVIDIA H100, H200, B200, and B300. The open-source framework is designed to be extended to additional SKUs as market demand dictates.
4. How can I use the Computable GPU Index in my applications? You can integrate the live index via its public MCP (Model Context Protocol) server for AI agents, view historical data and charts on the live website, or clone the GitHub repository to recompute values, run historical analysis, or audit the methodology directly.
5. Why is an open-source price index important for the GPU market? An open-source index establishes a credible, neutral benchmark essential for a mature commodity market. It enables trust through verification, provides a foundation for financial products (like futures or financing), and reduces information asymmetry, leading to more efficient pricing and allocation of global GPU compute resources.