Optimize & Deploy
GPU Scout
GPU Scout, a tool that monitors GPU availability and pricing across AWS, GCP, Azure, Lambda Labs, and vast.ai, alerting when spot instances drop in price or become available.
The problem
Teams have no single view of GPU availability and spot pricing across clouds, so they overpay or miss capacity windows for training runs.
- You default to the cloud you already have credentials for, even when it's the expensive one.
- A cheap spot window opens on another provider and closes before anyone notices.
- Nobody owns "check GPU prices" as a job, so nobody does it consistently.
What NEO built
NEO built a multi-provider poller that normalizes GPU pricing and availability from AWS, GCP, Azure, Lambda Labs, and vast.ai into one schema, then alerts via Slack, email, or webhook on price drops or capacity.
The result
5 clouds, 7 GPU types tracked
Gives teams a unified dashboard and automated alerts for cost-effective GPU allocation across every major provider.
From the blog · 8 min
GPU Scout: Real-Time Cloud GPU Monitoring with Spot Price Alerts and Cost Dashboards
NEO built GPU Scout, a tool that monitors GPU availability and pricing across AWS, GCP, Azure, Lambda Labs, and vast.ai, alerting when spot instances drop in price or become available.
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Build a tool that polls GPU spot pricing and availability across AWS, GCP, Azure, Lambda Labs, and vast.ai, and pings me on Slack when a price drop or capacity window opens up for my training runs.
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