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
Joined January 2020
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Biggest learning at PyTorchCon this week is that engineers are so hungry for alternatives to Slurm and Kubernetes. As soon as you mention it, you get their attention. Super excited about the conference! Also great to see at least 5 GPU hardware vendors here. It’s the first time I’ve seen so many at such a small event. Exciting times for inference ahead!
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dstack retweeted
Excited to be at @PyTorch Conf in San Jose, starting tomorrow! Make sure to stop by our booth. Come talk about training and inference on GPU clouds, K8S or on-prem, on NVIDIA, AMD or other silicon! We're there Tue and Wed.
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Excited to be at @PyTorch Conf in San Jose, starting tomorrow! Make sure to stop by our booth. Come talk about training and inference on GPU clouds, K8S or on-prem, on NVIDIA, AMD or other silicon! We're there Tue and Wed.
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dstack retweeted
dstack 0.22.4 is out! This release greatly improves server stability and performance, with significantly faster offer lookups and better responsiveness under heavy workloads. Also included: UI improvements to Launch, Offers, and project quotas in dstack Sky. github.com/dstackai/dstack/r…
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dstack retweeted
How many coding agents can one 4xH200 node serve with Qwen3.8-Flash-Next? With dstack presets, we tuned @lmsysorg's SGLang on Claude Code sessions: 37% lower TTFT, 74% lower p99 ITL vs the cookbook recipe. Read about the benchmark and how preset optimization works: dstack.ai/blog/qwen38-flash-… Huge thanks to @jarvislabsai for partnering!
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dstack 0.22.4 is out! This release greatly improves server stability and performance, with significantly faster offer lookups and better responsiveness under heavy workloads. Also included: UI improvements to Launch, Offers, and project quotas in dstack Sky. github.com/dstackai/dstack/r…
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How many coding agents can one 4xH200 node serve with Qwen3.8-Flash-Next? With dstack presets, we tuned @lmsysorg's SGLang on Claude Code sessions: 37% lower TTFT, 74% lower p99 ITL vs the cookbook recipe. Read about the benchmark and how preset optimization works: dstack.ai/blog/qwen38-flash-… Huge thanks to @jarvislabsai for partnering!
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dstack retweeted
Crusoe
@CrusoeAIOct 13
Open Source AI Week brings us to San Jose on Oct. 20 for AI Infra Night with @sgl_project and @dstackai. Come meet GPU, ML, and infra engineers after the PyTorch Conference day, and request your spot early!
Where to find #SGLang at Open Source AI Week: Sun Oct 18 · InclusionAI Tech Night, SF Tue Oct 20 · SGLang x LinkedIn Meetup, Sunnyvale Tue Oct 20 · AI Infra Night at PyTorchCon, San Jose Links below. opensourceaiweek.com @open_intel_fdn #OpenSourceAIWeek #OpenIntelligence 1️⃣ Sun Oct 18 · InclusionAI Tech Night: Your AI Reality Check in SF, hosted by Ant Open Source and inclusionAI. Request to join: luma.com/xs9sn0lp 2️⃣ Tue Oct 20 · SGLang x LinkedIn Meetup in Sunnyvale. Talks on LLM serving, including how LinkedIn runs SGLang in production. Limited spots, request to join: luma.com/zbp6a1e1 3️⃣ Tue Oct 20 · AI Infra Night #PyTorchCon in San Jose with dstack and Crusoe. GPU and infra folks, after the conference day. Request to join: luma.com/6j69xyal
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dstack retweeted
dstack 0.22.3 is out! You can now provision @HotAisle bare metal servers with 8x @AMD MI300X GPUs, in addition to VMs. Bare metal support is experimental. This release also includes a number of major bug fixes and improvements. Release notes: github.com/dstackai/dstack/r…
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dstack retweeted
Sponsor news from @CrusoeAI: We’ll be in San Jose for #PyTorchCon North America Oct 20-21. 🎤 Talks on Triton, MoE fine-tuning + model customization 🤖 Booth demos + challenges 🍻 AI Infra Night with @dstackai, @sgl_project (@lmsysorg) Learn more: bit.ly/3TKs7bi Register for AI Infra Night: 🔗 bit.ly/4AX0nRy #PyTorchFoundation
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dstack 0.22.3 is out! You can now provision @HotAisle bare metal servers with 8x @AMD MI300X GPUs, in addition to VMs. Bare metal support is experimental. This release also includes a number of major bug fixes and improvements. Release notes: github.com/dstackai/dstack/r…
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dstack retweeted
dstack 0.22.2 is out! You can now provision compute on @daytonaio and orchestrate training and inference with NVIDIA B300/H200 and AMD MI355X GPUs. Presets now use cache-aware routing even without PD disaggregation. Release notes: github.com/dstackai/dstack/r…
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dstack retweeted
Crusoe
@CrusoeAISep 30
We’ll be in San Jose for @PyTorch Conference North America Oct 20 - 21. 🎤 Talks on Triton, MoE fine-tuning + model customization 🤖 Booth demos + challenges 🍻 AI Infra Night with @dstackai, @SGLang (@lmsysorg) Register: 🔗 luma.com/6j69xyal #PyTorchCon ​​#PyTorchFoundation
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Spin Daytona GPU sandboxes directly from @dstackai
You can now provision Daytona GPU sandboxes directly from @dstackai. On-demand + spot, per-second billing, B300s included.
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dstack 0.22.2 is out! You can now provision compute on @daytonaio and orchestrate training and inference with NVIDIA B300/H200 and AMD MI355X GPUs. Presets now use cache-aware routing even without PD disaggregation. Release notes: github.com/dstackai/dstack/r…
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Going to @PyTorch Conference in San Jose next month? @CrusoeAI and we are hosting an evening on day one, October 20, 6:30 PM, right after the sessions. We're gathering GPU experts, AI researchers, AI infra engineers, and anyone into AI infra and heterogeneous AI compute. Space is limited: luma.com/6j69xyal
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