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dstack
1,243 posts
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dstack
@dstackai
Control plane for agents & engineers to provision compute and run training & inference across NVIDIA, AMD, and other chips — on clouds, Kubernetes, and on-prem.
github.com/dstackai/dstack
dstack.ai
Joined January 2020
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  • Pinned
    user avatar
    dstack
    @dstackai
    Mar 11
    Infrastructure orchestration is becoming an agent skill. When agents run experiments, training, and eval autonomously, they now can provision compute, schedule workloads, and track state, all inside the loop. New post on what this means for platform teams, providers, and the
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    Infrastructure orchestration is an agent skill - dstack
    From dstack.ai
    403K
  • user avatar
    dstack
    @dstackai
    16h
    GPU builders, inference engineers, and training teams are meeting in SF on July 23. Join engineers @aiand_ @NVIDIAAI, @ByteDanceOSS, @radixark, @liquidai, @zml_ai, @GraphsignalAI, Cosmic Labs, Kernelize, and more for an evening of lightning talks and networking. Hosted by
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    AI Infra Builders Meetup with dstack, Crusoe, and SGLang · Luma
    From luma.com
    145
  • user avatar
    dstack
    @dstackai
    17h
    dstack 0.20.28 is out 🚀 • Agent-driven optimization of inference endpoints for a given model and hardware • Use the dstack CLI/API from inside runs • Export server telemetry via OpenTelemetry • Use @vast_ai spot instances github.com/dstackai/dstac…
    user avatar
    Andrey Cheptsov
    @andrey_cheptsov
    17h
    I’m incredibly excited to release endpoint presets, our first step toward fully agentic inference optimization in @dstackai. The goal is simple: optimized inference performance for any model on any hardware. Our first batch of presets and benchmarks is coming soon! Let us know
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    233
  • dstack reposted
    user avatar
    Andrey Cheptsov
    @andrey_cheptsov
    17h
    I’m incredibly excited to release endpoint presets, our first step toward fully agentic inference optimization in @dstackai. The goal is simple: optimized inference performance for any model on any hardware. Our first batch of presets and benchmarks is coming soon! Let us know
    Image
    524
  • dstack reposted
    user avatar
    dstack
    @dstackai
    Jul 14
    Working on GPUs, inference, or training? Come hang out with us in SF on July 23. We’re bringing together engineers from @NVIDIAAI, @ByteDanceOSS, @radixark, @liquidai, @zml_ai, @GraphsignalAI, Cosmic Labs, Kernelize and more for lightning talks and networking. Organized by
    Image
    AI Infra Builders Meetup with dstack, Crusoe, and SGLang · Luma
    From luma.com
    333
  • user avatar
    dstack
    @dstackai
    Jul 14
    Working on GPUs, inference, or training? Come hang out with us in SF on July 23. We’re bringing together engineers from @NVIDIAAI, @ByteDanceOSS, @radixark, @liquidai, @zml_ai, @GraphsignalAI, Cosmic Labs, Kernelize and more for lightning talks and networking. Organized by
    Image
    AI Infra Builders Meetup with dstack, Crusoe, and SGLang · Luma
    From luma.com
    333
  • dstack reposted
    user avatar
    dstack
    @dstackai
    Jul 9
    dstack 0.20.27 is out 🚀 This release adds experimental support for Slurm. A new backend lets dstack orchestrate both training and inference workloads on your existing Slurm clusters. Same YAML and CLI as for GPU clouds, Kubernetes, and bare-metal fleets. Full release notes 👇
    Image
    Release 0.20.27 · dstackai/dstack
    From github.com
    196
  • user avatar
    dstack
    @dstackai
    Jul 9
    dstack 0.20.27 is out 🚀 This release adds experimental support for Slurm. A new backend lets dstack orchestrate both training and inference workloads on your existing Slurm clusters. Same YAML and CLI as for GPU clouds, Kubernetes, and bare-metal fleets. Full release notes 👇
    Image
    Release 0.20.27 · dstackai/dstack
    From github.com
    196
  • dstack reposted
    user avatar
    Andrey Cheptsov
    @andrey_cheptsov
    Jul 8
    Working on a new @dstackai feature I’m genuinely excited about. One command to deploy an inference endpoint on whatever compute you already have access to: GPU clouds, your own data center, bare metal, or Kubernetes. The agent chooses compute and serving stack, prototypes on
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    771
  • dstack reposted
    user avatar
    dstack
    @dstackai
    Jul 7
    AI infra builders in SF, we are meeting on July 23. @CrusoeAI, @lmsysorg SGLang, and dstack are hosting a meetup on GPUs, training, inference, and open source AI systems. 12 short technical talks with speakers from @sgl_project, @ByteDanceOSS, @nvidia, @radixark, @CrusoeDev,
    Image
    3.6K
  • user avatar
    dstack
    @dstackai
    Jul 7
    AI infra builders in SF, we are meeting on July 23. @CrusoeAI, @lmsysorg SGLang, and dstack are hosting a meetup on GPUs, training, inference, and open source AI systems. 12 short technical talks with speakers from @sgl_project, @ByteDanceOSS, @nvidia, @radixark, @CrusoeDev,
    Image
    3.6K
  • dstack reposted
    user avatar
    dstack
    @dstackai
    Jun 30
    Crusoe has been doing great work making GPU infrastructure more accessible for AI teams. Now @CrusoeAI has a new guide on using dstack to manage clusters, training, and inference on Crusoe Cloud: docs.crusoecloud.com/third-party-in…
    Image
    517
  • user avatar
    dstack
    @dstackai
    Jun 30
    Crusoe has been doing great work making GPU infrastructure more accessible for AI teams. Now @CrusoeAI has a new guide on using dstack to manage clusters, training, and inference on Crusoe Cloud: docs.crusoecloud.com/third-party-in…
    Image
    517
  • dstack reposted
    user avatar
    Crusoe
    @CrusoeAI
    Jun 29
    Already using @dstackai? Crusoe Cloud is now a fully documented backend. Overview, quickstart, and cluster provisioning — everything you need to run training and inference on Crusoe with the same YAML you're already writing. → docs.crusoecloud.com/third-party-in… #MLOps #GPU
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