AI COMPUTE PRICING

GPU Spot Pricing Intelligence

Hourly GPU rental prices across every major cloud, normalized to canonical SKUs. A leading indicator of AI capex before it reaches earnings.

2 YEARSParquet, JSON, CSVHourly snapshots, daily feature build

Overview

Providers tracked25+ (Vast, Lambda, Runpod, CoreWeave, AWS, GCP, Azure...)
Canonical SKUs22 (H100, H200, B200, GB200, A100, L40S, MI300X, RTX 5090...)
GranularityHourly spot + on-demand, multi-region
Reference layerEquity OHLCV, options IV, DePIN token prices
Coverage2 yrs on consumer RTX, 12mo+ on datacenter SKUs
FormatParquet / API
DeliveryS3, REST API, Parquet

What's included

Cross-Provider Price Surface

Normalized hourly spot and on-demand rates per SKU per region across 25+ providers. One schema, every cloud.

Capacity & Utilization

Provider capacity snapshots - total, available, and rented instances per SKU - a direct read on supply tightness.

Equity & Token Overlay

GPU-hour pricing joined to AI-infrastructure equities, options implied volatility, and DePIN compute tokens.

Application

AI Capex Leading Indicator

Spot-price moves and capacity exhaustion across providers front-run datacenter buildouts and chip demand, visible before guidance or earnings.

Supply-Chain Positioning

Map compute scarcity to the public AI supply chain - GPUs, networking, power, memory - without waiting on quarterly disclosures.

Compute Cost Benchmarking

Track the true market price of every GPU class over time. Benchmark internal compute spend or model the cost curve of a training run.

Request trial access.

90-day trial with restricted scope for evaluation. No commitment required.