APIs & DEVELOPER INFRASTRUCTURE
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Pricing
We do not reprint prices. They change too often for that to be honest, and a number on our page with no date is worse than sending you to the source.
How we rated it
What it is
Runs Python code on cloud hardware, including GPUs, without managing servers. You decorate a function, it runs remotely, and it scales to zero when idle.
Who it is for
Python developers with work too heavy for a laptop and too sporadic to justify a permanent machine — model inference, batch jobs, training runs.
Where it is strongest
Bursty GPU work. Paying per second and dropping to nothing between runs is exactly right for a job that runs twice a day.
Where it falls short
Python only. Cold starts are noticeable for anything latency-sensitive. And the mental model takes a while — debugging code that runs somewhere else is harder than it looks.
Our verdict
Recommended for intermittent heavy compute. For something running continuously, a dedicated machine is cheaper; for a simple API call, this is far more machinery than you need.
Editorial assessment. We earn a commission on some links; it does not change the ranking.