From 1da1809ad36a7167de7403a362977597b66da5bd Mon Sep 17 00:00:00 2001 From: peterschmidt85 Date: Mon, 6 May 2024 10:59:19 +0200 Subject: [PATCH] Added a blog post (research & OSS program) --- README.md | 10 ++--- docs/assets/stylesheets/extra.css | 4 ++ docs/blog/posts/dstack-research.md | 39 ++++++++++++++++++ .../posts/images/dstack-diagram-stack-3.png | Bin 0 -> 343347 bytes .../posts/images/dstack-research-banner-2.png | Bin 0 -> 755331 bytes docs/docs/index.md | 2 +- docs/overrides/home.html | 13 ++++-- 7 files changed, 59 insertions(+), 9 deletions(-) create mode 100644 docs/blog/posts/dstack-research.md create mode 100644 docs/blog/posts/images/dstack-diagram-stack-3.png create mode 100644 docs/blog/posts/images/dstack-research-banner-2.png diff --git a/README.md b/README.md index bcdeb107a..2e239640e 100644 --- a/README.md +++ b/README.md @@ -29,11 +29,11 @@ You can also use `dstack` ro run workloads on on-prem servers. ## Latest news ✨ -- [2024/04] [dstack 0.18.0: RunPod integration, multi-node tasks, and more](https://dstack.ai/changelog/0.18.0/) (Release) -- [2024/03] [dstack 0.17.0: Service auto-scaling, and other improvements](https://dstack.ai/changelog/0.17.0/) (Release) -- [2024/02] [dstack 0.16.0: Pools](https://dstack.ai/changelog/0.16.0/) (Release) -- [2024/02] [dstack 0.15.1: Kubernetes integration](https://dstack.ai/changelog/0.15.1/) (Release) -- [2024/01] [dstack 0.15.0: Resources, authorization, and more](https://dstack.ai/changelog/0.15.0/) (Release) +- [2024/04] [dstack 0.18.1: On-prem servers, and new example](https://github.com/dstackai/dstack/releases/tag/0.18.1) (Release) +- [2024/04] [dstack 0.18.0: RunPod, mult-node tasks, and more](https://github.com/dstackai/dstack/releases/tag/0.18.0) (Release) +- [2024/03] [dstack 0.17.0: Auto-scaling, and other improvements](https://github.com/dstackai/dstack/releases/tag/0.17.0) (Release) +- [2024/02] [dstack 0.16.0: Pools](https://github.com/dstackai/dstack/releases/tag/0.16.0) (Release) +- [2024/02] [dstack 0.15.1: Kubernetes](https://github.com/dstackai/dstack/releases/tag/0.15.1) (Release) ## Installation diff --git a/docs/assets/stylesheets/extra.css b/docs/assets/stylesheets/extra.css index 82dd5dd64..851990cd4 100644 --- a/docs/assets/stylesheets/extra.css +++ b/docs/assets/stylesheets/extra.css @@ -225,6 +225,10 @@ } } +.md-nav--secondary:not(:has(ul)) { + display: none; +} + .md-nav--secondary { border: 1px solid black; padding: 20px 5px; diff --git a/docs/blog/posts/dstack-research.md b/docs/blog/posts/dstack-research.md new file mode 100644 index 000000000..622797ece --- /dev/null +++ b/docs/blog/posts/dstack-research.md @@ -0,0 +1,39 @@ +--- +date: 2024-05-06 +description: Universities and research labs engaged in open-source AI can now access dstack Enterprise for free. +slug: dstack-research +--- + +# Launching research and open-source program + +To all universities and research labs developing open-source AI: If you're utilizing cloud GPUs or on-prem clusters +to train and deploy AI, you can now use `dstack Enterprise` for free. + +![dstack-sky-banner.png](images/dstack-research-banner-2.png){ width=650 } + + + +As recent developments show, access to and the ability to efficiently manage compute resources are key to training and +utilizing AI models. Inefficiency in these processes leads to high costs and erodes competitiveness in the race for AI +research. + +Universities and research labs working on open-source AI do more research than any other organizations. They require a +lot of compute and often prefer focusing on AI rather than infrastructure. + +`dstack` is building an open-source foundation for more effective orchestration of compute resources for AI workloads. + +![dstack-diagram-stack-3.png](images/dstack-diagram-stack-3.png){ width=750 } + +Leveraging containers, `dstack` facilitates AI model training and deployment at scale while allowing the effective +use of open-source models, training, and serving frameworks. + +`dstack Enterprise` is a self-hosted AI platform that extends the capabilities of the open-source `dstack` to simplify +cost optimization, and compute utilization, and workload management for multiple teams. + +> To support universities and research labs engaged in open-source AI, we're thrilled to announce that `dstack Enterprise` +> can now be used by them for free + +If you're a researcher facing GPU usage challenges and seeking a platform friendly to AI researchers, capable of +seamless integration with the open-source ecosystem, share this program with your supervisor. + +To apply to this program, fill [this](https://tally.so/r/nrl2l5) form. \ No newline at end of file diff --git a/docs/blog/posts/images/dstack-diagram-stack-3.png b/docs/blog/posts/images/dstack-diagram-stack-3.png new file mode 100644 index 0000000000000000000000000000000000000000..e45148cdaa762e9a9b8614f14c04d74af91a05e3 GIT binary patch literal 343347 zcmV)FK)=6&Q5?tduiA?!8ghtexPvt%L`g(bSs;Odn1NP9_u&h?SGiYdaSU38h8{~+ zLrZh54Xr^C^nhq?Xew$6x!r@55*YNKKK#%5AI|w5a94AxZncepZWPUEC@94fD^lk( z?R3yZfN5E^3bT<&n3nZ%iwoe!FV5nB)vF~f6SI)cqoy7RHUR8H>(2_5xD6$x4&ejHx>g06tAOG{^C}HQ}LA%ZRD2NClTN+{&Wq9QR*9vvAmkNAV%*;=WI zaR6LBL1=%n?YCj*+=g1kwm%PTyLJSgN4PK=^Z6=Fy@RLH==lzyZxhZg8$D$Q&bMIT zp&*+w03N`dO2O+1^d_MH8oF0SZa?cB-$ASl;VanNhmkb&t+jY}S95NE?fK5{3$_e$ z!ly3;{Qv*}32;bRa{vGqB>(^xB>_oNB=7(QJ7`HnK~#9!?3v$>8@Cb1{TKIS6|rH* z^+S@PEex~|1(JsX1@cfh?L&g5DBu=t(4mDMVWLYfHpY6rp3mo5mWln?kNwz>{n(HFxX4J7q%6y} 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zf#Tz8dRR7PeCi=OL`tgY3Rsib0JhH5QGBsAL|nc(5Eua{v+Ri5PGqezdM4B9k4_lJ zw|^^2oqVnh(xs|?dHQdPzqthkey7@&Up9*F&|i$tqkq?# zTird8c~&6E1^{LNy4Xh`J_2y_@~7uoCIiIAUeYDA-M(*mf$pQ|vIOP5|Lz{rNzC0X zk%0!-Ow)W7d%;66-)?|Y zey_*tG0|7B9XI+t$vmSh<`R4wU?LgQRJYb^;2dDPvVPFkjXX>mbw;ra zYTuVgOkz+n3hHGgKnfq4!a}BiqFG=vj~;-@#5T-2r0p@J7`JhfS1|>S3hHWK)BYu6 z;uP*LR~Fa0MWAW@Pcr{*+uG))IoY^K1!h0^s&Nl%CDnlKsFcD#KUjvKaxK zD1}W!_XZ#DqM8Z+pgEVk?S%-Y@yUEUJx#wJrv7sYrTjm3aF>TU6WCY)0000 The supported cloud providers include AWS, GCP, Azure, Lambda, TensorDock, Vast.ai, CUDO, and RunPod. > You can also use `dstack` ro run workloads on on-prem servers. diff --git a/docs/overrides/home.html b/docs/overrides/home.html index f5f2a444d..561e76d3e 100644 --- a/docs/overrides/home.html +++ b/docs/overrides/home.html @@ -309,7 +309,7 @@

      - Fine-tune Gemma 7B on a custom dataset using Alignment Handbook. + Fine-tune Gemma 7B on a custom dataset.

      @@ -622,13 +622,20 @@

      Get started in a minute

      Book a demo -
      Contact us for pricing.
      + class="md-button md-button-secondary external">Get a demo +
      Contact us for a demo, pricing, and trial.
      +
      +

      + Working with a university or research lab on open-source? + Apply to use dstack Enterprise for free. +

      +
      +

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