dstack
@dstackai
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An open-source orchestration engine for managing clusters and running containers in cloud and on-prem, built for AI engineers
Joined January 2020
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Pinned Tweet
Introducing Fleets: a new open-source tool to manage cloud and on-prem clusters for AI. No more Kubernetes, KubeFlow, Slurm, etc.
Fleets enable researchers and engineers to develop AI seamlessly, without friction with Ops teams.
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dstack Retweeted
Introducing Fleets: a new open-source tool to manage cloud and on-prem clusters for AI. No more Kubernetes, KubeFlow, Slurm, etc.
Fleets enable researchers and engineers to develop AI seamlessly, without friction with Ops teams.
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dstack Retweeted
Imagine creating a fleet from your on-prem GPU clusters simply by listing their hostnames and using them for all your AI needs—dev environments, tasks, services, etc. No Kubernetes, Kubeflow, Airflow, no other "flows".
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We're excited to share a preview of the upcoming v0.18.7 update!
This preview is extra special with several major new features:
✨ Fleets - a brand new way to manage cloud and on-prem clusters
✨ RunPod volumes - persist data across
@runpod_io
runs using volumes
✨ dstack
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So excited to see dstack reach 1250 stars! 🤩 Thanks for all the support!
If you're into containers, AI, and open-source, we’d love to have you contribute! Help us set a new standard for AI containers. FYI, our codebase is in Python.
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dstack Retweeted
Second talk at Berlin Systems Group - Andrey presenting
@dstackai
@davidrfgomes
and I are having a great time hosting this!
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Are you in Berlin today and interested in using containers to accelerate AI development in the cloud and on-premises? Come to the Berlin System Group meetup!
@andrey_cheptsov
will give a talk about dstack, a Kubernetes alternative for AI!
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dstack Retweeted
If your team heavily uses or plans on using on-prem clusters for model training and deployment, and you're open to collaborating on optimizing it, please DM us. We're creating an open-source Kubernetes alternative for AI teams and keen to collaborate!
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dstack Retweeted
🔥🔥🔥 Thanks to
@algo_diver
, we've got a new example on how to run
@huggingface
's Alignment Handbook distributed fine-tuning tasks with
@dstackai
(either on cloud or on-prem).
Big shout-out to
@alvarobartt
for testing and feedback too!
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dstack Retweeted
Excited to announce our next release! It adds initial support for Google Cloud TPUs, making it possible to run AI containers for training and deployment. Check it out:
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dstack Retweeted
Massive! 🚀🚀
Our new preview build lets you attach volumes to your AI workloads. For now, it's AWS-only, but GCP, Azure, RunPod, Lambda, and more are on the way!
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dstack Retweeted
Berlin Systems Group is back with the third edition. Check it out:
We have talks from
@neondatabase
and
@dstackai
this time around. Don't miss it.
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Massive! 🚀🚀
Our new preview build lets you attach volumes to your AI workloads. For now, it's AWS-only, but GCP, Azure, RunPod, Lambda, and more are on the way!
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Hey Python folks! If you love open-source, containers, infrastructure, and AI, we'd love for you to join us on our team working with . Drop us a DM if you're interested!
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