Vast provides real-time and historical data on GPU supply, demand, pricing, and geographic distribution across the marketplace. You can use this data to make informed decisions about pricing your machines and understanding demand for specific GPU types.Documentation Index
Fetch the complete documentation index at: https://docs.vast.ai/llms.txt
Use this file to discover all available pages before exploring further.
Accessing the data
There are three ways to access market metrics:- Dashboards at cloud.vast.ai/host/market/
- CLI via
vastai metricssubcommands (requirespip install vastai, v1.0.4+) - REST API endpoints (see API reference below)
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Dashboards
Three views are available at cloud.vast.ai/host/market/:- Availability & Pricing — Historical supply/demand counts and P10/median/P90 pricing over time
- GPU Overview — Current supply/demand counts, pricing, and stats for each GPU type
- GPU Locations — Geographic distribution of GPUs across the platform
CLI commands
Install or upgrade the CLI:Current snapshot — vastai metrics gpu
Returns current supply, demand, and pricing for all GPU types.
Historical trends — vastai metrics gpu-trends
Returns time-series data for supply, demand, and pricing. Defaults to RTX 5090, 4090, and 3090 over the last 24 hours.
Location data — vastai metrics gpu-locations
Returns geographic distribution of GPUs.
API endpoints
You can also query the data directly via the REST API. Pass your host API key as a Bearer token.| Endpoint | Description |
|---|---|
GET /api/v0/metrics/gpu/current/ | Current snapshot of all GPU types |
GET /api/v0/metrics/gpu/history/ | Time-series supply/demand and pricing |
GET /api/v0/metrics/gpu/locations/ | Geographic distribution |
Query parameters
| Parameter | Applies to | Description |
|---|---|---|
verified | current, history | yes, no, or all |
hosting_type | current, history | secure_cloud, community, or all |
gpu_name | history | GPU name (e.g. RTX 4090) |
start | history | Unix timestamp for range start |
end | history | Unix timestamp for range end |
step | history | Seconds between data points (e.g. 3600 for hourly) |