Joul.cloud grounds high-performance compute in the fundamental laws of physics. Named after the Joul, the SI unit of work equal to one watt of power expended for one second, Joul.cloud measures digital infrastructure by its core output: raw, efficient work. It translates raw power into high efficiency GPU acceleration, driving complex AI models and heavy workloads with maximum performance per watt.
Tell us what you run — we will come back with a price.
Failed runs, retries, idle gaps and mismatched hardware eat a share of every invoice — and you pay for all of it, useful or not.
There is a name for the share that counts: goodput. Joul is built around it. Every job is placed on hardware that suits it — the card you named, whole machines when you ask for them — and kept doing real work, so more of what you pay for comes back as finished runs.
The share of paid compute that becomes finished work. Everything we build pushes it toward one.
One command-line client. It signs you in, submits your document, lists your runs, reads their output and stops them.
Yes. Write it the same way as a job, give it a name and a port, and reach it under that name for as long as you keep it running.
Only you and your team members. You bring the image and move the data; the platform runs the steps, holds the files passed between them and keeps the result for a retention window. It fetches nothing of yours and holds none of your credentials.
The share of paid compute that becomes finished work — productive compute divided by total compute. It is the number we optimise.