Viewing profile — jono_irwin

Yeah that’s fair. For weights specifically there often isn’t a huge dedupe win across versions since retraining tends to change most of them. That said, we generally don’t advocate…

That approach works really well when you have a stable shared base image. Where it starts to get harder is when you have multiple base stacks (different CUDA versions, frameworks, …

Good point, network dependency is a valid concern. In practice these systems typically fetch data over a local, highly available network and aggressively cache anything that gets r…

hey cosmotic, we're not really advocating for storing model weights in the container image. even the smaller nvidia images (like nvidia/cuda:13.1.1-cudnn-runtime-ubuntu24.04) are a…

Thanks for the feedback! I like the sound of all of those: - clearer messaging - more tutorials - one-click deploys - clear & upfront costing We have plans to add other runtimes (l…

There are definitely some parallels between Cerebrium and paperspace, but I don't think they are a direct competitor. The biggest difference being that paperspace doesn't have a se…