Announcing Beamstack
What is Beamstack?
Beamstack is a community of users developing reusable components for GenAI and ML workflow to simplify and make it easy to deploy and manage ML workloads from easily composable low-code components. Beamstack provides a robust Command Line Interface (CLI) that can potentially reduce pipeline deployment complexity and timelines drastically. It also possesses great monitoring and visualization features. Beamstack makes AI/ML on Kubernetes simple, portable, and scalable.
Why Beamstack?
Deploying machine learning and GenAI workflows should be easy. By extension, managing those workflows should be easy as well, beamstack offers a solution that streamlines the deployment process of complex workflows. It is an open-source tool, easy to understand, and versatile.
The Beamstack mission
Our goal is to make the deployment of AI/ML Pipelines effortless and time efficient. Beamstack extends already existing features of kubernetes:
- Easy, repeatable, portable deployments on a diverse infrastructure (for example, experimenting on a laptop, then moving to an on-premises cluster or to the cloud)
- Scaling based on demand
Join Beamstack’s Community
Come join us and make Beamstack better, we are looking for contributors to add components, review components and make it easy for users to get onboarded. Please join the Beamstack Discord.
FAQ’s
How does beamstack work?
- Beamstack project documentation explain in detail how each beamsack components interact with other to facilitate seamless deployment. Please read the how it works section in the documentation.
Is it compatible with my operating system?
- Yes! Beamstack is infrastructure agnostic and as such it works seamlessly across multiple operating systems and environments
Is it free to use?
- Absolutely! Beamstack is an open source tool that allows users customize its capabilities to their specific needs