Added a blog post (research & OSS program)

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
 

docs/assets/stylesheets/extra.css

@@ -225,6 +225,10 @@
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 }
 
+.md-nav--secondary:not(:has(ul)) {
+    display: none;
+}
+
 .md-nav--secondary {
     border: 1px solid black;
     padding: 20px 5px;

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 }
+
+<!-- more -->
+
+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.

docs/docs/index.md

@@ -1,6 +1,6 @@
 # What is dstack?
 
-`dstack` is an open-source container orchestration engine designed for AI workloads across any cloud or data center.
+`dstack` is an open-source container orchestration engine designed for running AI workloads across any cloud or data center.
 
 > 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.

docs/overrides/home.html

@@ -309,7 +309,7 @@ <h3>
                     </h3>
 
                     <p>
-                        Fine-tune Gemma 7B on a custom dataset using Alignment Handbook.
+                        Fine-tune Gemma 7B on a custom dataset.
                     </p>
 
                     <div class="feature-tags">
@@ -622,13 +622,20 @@ <h2>Get started in a minute</h2>
                         </div>
 
                         <a href="https://calendly.com/dstackai/discovery-call" target="_blank"
-                        class="md-button md-button-secondary external">Book a demo</a>
-                            <div class="plans_card__buttons_subtitle">Contact us for pricing.</div>
+                        class="md-button md-button-secondary external">Get a demo</a>
+                            <div class="plans_card__buttons_subtitle">Contact us for a demo, pricing, and trial.</div>
                         </div>
                 </div>
             </div>
         </div>
 
+        <div>
+            <p>
+                Working with a university or research lab on open-source?
+                <a href="https://tally.so/r/nrl2l5" target="_blank">Apply</a> to use dstack Enterprise for free.
+            </p>
+        </div>
+
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