openbao VS dstack

FWIW, most of the code and docs contributions have come from non-IBMers [0]. That said, IBM has done a lot of great work building the foundation and initial community and without them, OpenBao wouldn't be here. :-)

Speaking for myself, but I do not get any monetary compensation from IBM and I suspect this is true for all of the other non-IBM contributors.

[0]: https://github.com/openbao/openbao/releases/tag/v2.0.0-alpha...

on the off chance one hasn't been tracking it, there were several "we don't need your stinking BuSL" projects when this drama first started:

https://github.com/opentofu#why-opentofu (Terraform)

https://github.com/openbao/openbao#readme (Vault)

and I know of several attempts at Vagrant <https://github.com/hashicorp/vagrant/forks> but I don't believe one of them has caught traction yet

There are also some who have talked about an "open Nomad" but since I don't play in that space I can't speak to it

Oops https://github.com/openbao/openbao/tree/development?tab=read...

Well, lucky you, because now there's new management :-)

In all seriousness, you may want to open an issue <https://github.com/openbao/openbao/issues> as they have weighed in on a few threads here saying they're open to suggestions

Having implemented a reader for 1Password's "old" opvault format, I would imagine the threat model is not just searching, so it may be a heavy lift to coerce ~~Vault~~ OpenBao's mental model over into one that can be used as a consumer a password manager but I'll admit that would be pretty cool to unify vaultwarden and OpenBao into one stop shopping for all one's cryptographic needs

We build a similar tool except we focus on AI workloads. Also support on-prem clusters now in addition to GPU clouds. https://github.com/dstackai/dstack

Not exactly this, but something related. At https://github.com/dstackai/dstack, we build an alternative to K8S for AI infra.

You can use https://github.com/dstackai/dstack to deploy your model to the most affordable GPU clouds. It supports auto-scaling and other features.

Disclaimer: I’m the creator of dstack.

Great job on the project! It looks fantastic. Thanks to your post, I discovered Fly's GPUs. We are currently developing a platform called https://github.com/dstackai/dstack that enables users to run any model on any cloud. I am curious if it would be possible to add support for Fly.io as well. If you are interested in collaborating on this, please let me know!

I also noticed that the creator of this app, dstack, is affiliated with Tensordock, the top results for most if not all queries. If that's the case, perhaps a direct link to the cheapest machine could be provided? I haven't used Tensordock, so I don't know if this is mechanically possible.

Here's the repository with all the important links, including documentation, examples, and more: https://github.com/dstackai/dstack

Hey everyone, I'm happy to release dstack Hub, an open-source tool that helps teams manage their ML workflows more effectively without vendor lock-in.

dstack Hub extend dstack [1] with workflow scheduling capabilities and user management. Here's how it works: run dstack Hub via Docker, use its UI to configure projects and cloud credentials, then pass the URL and personal token to the dstack CLI. Now, you can run workflows through the CLI and Hub will orchestrate them in the cloud on your behalf.

This is a beta release and we plan to continuously improve it. We'd love to hear your feedback and answer any questions!

[1] https://github.com/dstackai/dstack

To help you overcome this challenge, we have written an article to guide you through the simple steps of using both diffusers and dstack to generate images from prompts, both locally and in the cloud, using a simple example.