Renting a GPU you don't fully use is the most expensive AI mistake.
GPU rentals make sense if you're running 24/7 at >70% utilization. Below that, pay-per-token AI is dramatically cheaper. Here's the math.
Idle time = your loss
An A100 on RunPod costs $1.20–$2.00 / hour. If your traffic is 100 requests/day, you're paying for ~23 hours of zero work — every day.
Lexora bills tokens, not hours
Zero traffic = zero bill. 1,000 requests = ~$0.10 for an 8B model. The price tracks usage perfectly.
Distributed network, no provisioning
No instance to start, no cold-start to wait through. Inference routes to a warm node on Lexora's distributed network in milliseconds.
RAG included
Renting a GPU also means building your RAG stack — vector DB, embeddings, retrieval, citations. Lexora bundles all of that, free.
Lexora vs RunPod / Modal / vast.ai
Side-by-side breakdown of what matters.
Stop paying for idle GPUs.
If your AI workload doesn't run flat-out 24/7, you're overspending on GPU rentals. Move to pay-per-token and see the difference on your next bill.
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