GPU cloud
A service that rents GPUs by the hour—useful for training models without buying hardware.
Think of it like
Renting a bulldozer instead of owning one—pay per day, return when done.
Example
Lambda, CoreWeave, RunPod, Modal. Rent H100s at $3-5/hour, SSH in, train your model.
How it actually works
GPU clouds democratized model training. No upfront $500k investment; pay as you go. Tradeoff: you pay a premium (more than data center rental), and availability fluctuates. Newer providers are targeting AI workloads specifically.
For product teams
Lowers barrier to entry for training; shifts capex to opex.
For engineers
Hourly billing; SSH/cloud APIs; community-built; less reliable than owned infra.
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