DataCrunch

Say you have a trained model and need it running on a GPU without managing servers yourself: DataCrunch is built for that kind of job.

DataCrunch is a GPU and serverless container platform for AI and machine learning workloads, where you deploy a containerized workload and scale it as demand changes.

The product line includes GPU instances, instant clusters, bare-metal clusters and serverless containers.

That spread covers quick experiments on a single instance as well as heavier training on dedicated hardware.

The history matters if you arrive from the Takomo website.

Takomo was a no-code builder for combining and running AI models, and it has been retired.

DataCrunch now concentrates on Serverless Containers, so the focus has moved from visual model building to infrastructure.

Expect to work with containers and compute rather than drag-and-drop blocks.

That fits developers and ML teams who already know what they want to run, and it will disappoint anyone hoping for the old no-code builder.