dstack
@dstackai
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An open-source alternative to Kubernetes and Slurm for AI container orchestration, supporting NVIDIA, AMD, TPU, and Intel across cloud and on-prem.
Joined January 2020
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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RT @dstackai: How do @AMD GPUs perform in VMs vs bare-metal environments?. We benchmarked containerized workloads on both — for training an….
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RT @liracinai: Can VMs match bare-metal for GPU-intensive workloads? We put @AIatAMD VMs to the test to find out. Check out @dstackai's ne….
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RT @HotAisle: We asked @dstack and @andrey_cheptsov to do an unbiased investigation into whether or not our 1xMI300x virtual machines have….
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How do @AMD GPUs perform in VMs vs bare-metal environments?. We benchmarked containerized workloads on both — for training and inference using the MI300X. Read the results:
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dstack 0.19.20 is out!. The last release revamped log handling — this one fixes the UI issues that came with it. Log handling is now smoother, faster, and a lot more usable. 👇.
github.com
User interface Logs This is a hotfix release addressing three major issues related to the UI: The UI didn’t display newer AWS CloudWatch logs if there was a long gap between old and new logs. Logs...
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New 0.19.19 release is out 🚀. Here are the changes it brings:. * Update SSH fleets in-place. No more full redeploys to add/remove instances.* Auto-cleanup unused volumes.* Improved server performance — API responses up to 2x faster. Full release notes:
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RT @andrey_cheptsov: Still surprised how many ML teams avoid containers for training on large clusters. At @dstackai, we’ve started busti….
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cc @dylan522p Proving that GPU partitions are for development only, and only when the GPU is underutilized.
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RT @andrey_cheptsov: Dropped a new @dstackai benchmark on @AMD GPUs now on Hacker News. Help us get it in front of more devs! ☺️ https://t.….
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Amazing to see dstack featured by @nebiusai in their Q2 report! ML teams need better tools for @nvidia GPU orchestration — and open source plays a key role.
Here are all the Nebius AI Cloud updates we delivered in Q2: Welcome back to our quarterly roundup featuring all the improvements and updates released over the past three months. This overview highlights the key developments we’ve made to enhance your AI
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