Frequently Asked Questions
Everything you need to know about saving money with GPUPulse
Business & ROI
Typical savings: 20-40% on GPU compute costs. Teams burning $100k+/month often save $20-40k annually.
Example: 8x H100 cluster for $48.80/hr vs $68/hr average = $13,824/month savings
Enough to test, not enough to freeload. 50 calls lets you test our data quality and integration difficulty. If you're checking prices regularly, you should pay - you're clearly saving money.
We track large allocations too. The API supports up to 100 GPUs per request. For larger needs (100+ GPUs), providers typically require custom negotiations anyway.
Max: 100 GPUs per requestYes, that's the point. Webhook payloads include enough data to make provisioning decisions. Many customers auto-scale based on our price alerts.
Data Accuracy & Reliability
99.7% accuracy rate. Data updated every 5 minutes from 15+ providers. We validate pricing through multiple sources and flag any anomalies.
Real-time webhooks notify you within 5 minutes of any price changes. You'll never miss a savings opportunity or pay outdated rates.
Real provider inventory limits. We show actual available quantities and per-GPU pricing. Some providers offer volume discounts, others don't - we show the real pricing structure.
Integration & Technical
5 minutes to first API call. Simple REST API with just 4 core endpoints. No complex authentication or SDKs required.
curl "https://api.gpupulse.com/v1/pricing/h100"
Starter: 100 requests/minute | Growth: 500 requests/minute | Enterprise: 2000 requests/minute. Generous limits designed for real-world usage.
Yes, we provide 30-day pricing trends to help you time large deployments and understand market patterns. Enterprise customers get extended history.
Pricing & Plans
Yes, the free plan includes 50 API requests. No credit card required to start testing the API.
Advanced plans include 50,000 API calls/month. For higher usage, we offer flexible overage pricing at $0.001 per additional call.
Standard configs only for now. We track standard multi-GPU setups (1x, 2x, 4x, 8x, etc). Custom configurations require contacting providers directly.