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blog/data-centers-and-private-clouds/index.html

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@@ -3462,7 +3462,7 @@ <h1 id="orchestrating-gpus-in-data-centers-and-private-clouds">Orchestrating GPU
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long been a strength of Kubernetes, which enables concurrent workload execution across provisioned nodes to minimize
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resource waste.</p>
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<h3 id="gpu-blocks">GPU blocks<a class="headerlink" href="#gpu-blocks" title="Permanent link">&para;</a></h3>
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<p>The newest version of <code>dstack</code> introduces a feature called GPU blocks, bringing this level of efficiency to <code>dstack</code>. It
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<p>The newest version of <code>dstack</code> introduces a feature called <a href="../../docs/concepts/fleets/#ssh-blocks">GPU blocks</a>, bringing this level of efficiency to <code>dstack</code>. It
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enables optimal hardware utilization by allowing concurrent workloads to run on the same hosts, using slices of the
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available resources on each host.</p>
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<blockquote>
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<p>Private clouds typically provide access to GPU clusters via SSH through a login node. In these setups, only the login
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node is internet-accessible, while cluster nodes can only be reached via SSH from the login node. This prevents creating
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an SSH fleet by directly listing the cluster nodes' hostnames.</p>
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<p>The latest <code>dstack</code> release introduces the <code>proxy_jump</code> property in SSH fleet configurations, enabling creating fleets
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<p>The latest <code>dstack</code> release introduces the <a href="../../docs/concepts/fleets/#proxy-jump"><code>proxy_jump</code></a> property in SSH fleet configurations, enabling creating fleets
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through a login node.</p>
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<blockquote>
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<p>For example, imagine you’ve reserved a 1-Click Cluster from

docs/reference/api/rest/openapi.json

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