dstack VS infisical

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.

You should look into Infisical: https://github.com/Infisical/infisical

Disclaimer: I’m one of the founders.

Do you know that OpenBao is actually funded by IBM?

I'm biased (co-founder) but you should take a look at Infisical for secret management: https://infisical.com

Infisical

Check out Infisical: https://infisical.com

We help developers manage API keys, DB access tokens, certificates, and other types of secrets across all of their infrastructure – providing smooth native integrations with k8s, terraform, github actions, any local development setup, and much more.

Disclaimer: I'm one of the founders.

Infisical is an open-source, end-to-end encrypted secret management platform for storing, managing, and syncing application configuration and secrets like API keys, database credentials, and environment variables across applications and infrastructure. It is an alternative to HashiCorp Vault and AWS Secrets Manager.

Check out Infisical: https://github.com/Infisical/infisical

Disclaimer: I'm one of the founders

Infisical- Open source, end-to-end encrypted platform that lets you securely manage secrets and configs across your team, devices, and infrastructure.

Check out Infisical: https://infisical.com

Start building with Infisical. Support Infisical on GitHub ⭐