Deploying to gh-pages from @ dstackai/dstack@b6aa7e8 🚀

Author: peterschmidt85

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@@ -3747,7 +3747,7 @@ <h2 id="about-digital-ocean">About Digital Ocean<a class="headerlink" href="#abo
 <h2 id="about-amd-developer-cloud">About AMD Developer Cloud<a class="headerlink" href="#about-amd-developer-cloud" title="Permanent link">&para;</a></h2>
 <p>AMD Developer Cloud is a new cloud platform designed to make AMD GPUs easily accessible to developers, academics, open-source contributors, and AI innovators worldwide.</p>
 <h2 id="why-dstack">Why dstack<a class="headerlink" href="#why-dstack" title="Permanent link">&para;</a></h2>
-<p>Unlike Kubernetes, dstack provides a high-level, AI-engineer-friendly interface where GPUs work out of the box—no custom operators or low-level setup required. Unlike Slurm, it’s use-case agnostic, equally suited for training, inference, benchmarking, and dev environments.</p>
+<p><code>dstack</code> provides a high-level, AI-engineer-friendly interface where GPUs work out of the box—no K8S custom operators or low-level setup required. It’s use-case agnostic, equally suited for training, inference, benchmarking, and dev environments.</p>
 <p>With the new DigitalOcean and AMD Developer Cloud backends, you can now provision NVIDIA or AMD GPU VMs and run workloads with a single CLI command.</p>
 <h2 id="getting-started">Getting started<a class="headerlink" href="#getting-started" title="Permanent link">&para;</a></h2>
 <p>Best part about <code>dstack</code> is that it's very easy to get started.</p>