GPU Cloud Pricing Comparison

Side-by-side GPU cloud instance costs for A100, H100, and RTX 4090 across Lambda Labs, RunPod, CoreWeave, AWS, Azure, and GCP. Prices shown per hour on-demand.

Looking for AI inference costs instead? Compare AI model API pricing →

On-demand hourly rates. Spot/preemptible instances can be 50–80% cheaper. Prices change frequently — verify on each provider's pricing page.

Which GPU Cloud Should You Use?

GPU Cloud vs. LLM API: Which Is Cheaper?

For inference workloads, the answer is almost always: use a managed API. Here's why:

• A rented A100 at $1.29/hr serves roughly 1–5 requests/second for a 70B model
• At $0.0014 per 1k tokens (GPT-4.1 Mini), you'd spend less than $0.50 to process 350k tokens
• Managed APIs scale to zero — no idle GPU cost between requests
• No infrastructure management, no model serving code, no CUDA debugging

Renting GPUs makes sense when: you're training or fine-tuning, you need a custom or private model, you have sustained high-throughput (>100 req/s), or you need full data isolation.