dstack

dstack

Orchestrate GPU workloads effortlessly on any cloud
5reviews
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The community submitted 5 reviews to tell us what they like about dstack, what dstack can do better, and more.
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5/5All time (5 reviews)
5/5
Recently (1 review)

5 Reviews
Remco Frijling
Applied AI/ML/GAI/DL/Transformers
2 reviews
great for cost focused training finetuning and production runs
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Andrey Kiselev

everinfer

1 review
I tested dstack as a tool to do multi-cloud deployment of my own inference software. Works as a charm for any app, even non-AI/ML ones thanks to easy-to-use docker support. Code is simple to read and pretty customizable.
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Martin Schmitt
connect people and great ideas
1 review
easy
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Denis Azarov
Founder & Product Leader
1 review
Cool stuff
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Chansung Park
Hugging Face 🤗 Fellow, GDE in ML
1 review
I am running automated paper translations with a custom AI model every day on dstack, and it works perfect. With lots of paper, it helped me not only distribute the workloads on multiple GPU machines, but also easy to provision them with built-in Python API.
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