Show HN: Velda – Run jobs with serverless GPUs, without container images(velda.io)
velda.io
Show HN: Velda – Run jobs with serverless GPUs, without container images
https://velda.io
2 comments
Setup development environments is always pain in the ass, happy to see a solution for model training
Very cool direction. The “tax” is real, especially for fast-moving AI teams where local dev environments drift constantly. Open sourcing the core was also a smart move.
We believe containers create too much overhead during development. We built Velda to let you launch jobs directly in the cloud by mirroring your Velda managed dev-environment, all with just a command prefix. That way, you only need to allocate GPUs when you're running your training jobs, with no change to your workflow.
How it works:
* No manifests or custom libraries: You don't need to rewrite your code or define YAML. Just prefix your command with vrun.
* Zero Restrictions: Use any tool, binary, or library already on your machine.
* Instant Launch: We built a custom streaming file system. Instead of waiting for a 5GB image to pull, we stream only the necessary bits to the cloud instance, allowing jobs to start in seconds after the machine boots.
The core is open source: https://github.com/velda-io/velda and can be deployed on AWS/GCP/Nebius
If you want to try the hosted version, we’re giving free credits for your first GPU jobs: https://cloud.velda.io