Deploying to gh-pages from @ dstackai/dstack@c45ecfb 🚀

Author: peterschmidt85

assets/images/social/blog/intel-gaudi.png

@@ -2880,6 +2880,17 @@
     </label>
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
+        <li class="md-nav__item">
+  <a href="#supporting-intel-gaudi-accelerators" class="md-nav__link">
+    <span class="md-ellipsis">
+      
+        Supporting Intel Gaudi accelerators
+      
+    </span>
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#efficient-distributed-training-with-aws-efa" class="md-nav__link">
     <span class="md-ellipsis">
@@ -3433,6 +3444,17 @@
     </label>
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
+        <li class="md-nav__item">
+  <a href="#supporting-intel-gaudi-accelerators" class="md-nav__link">
+    <span class="md-ellipsis">
+      
+        Supporting Intel Gaudi accelerators
+      
+    </span>
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#efficient-distributed-training-with-aws-efa" class="md-nav__link">
     <span class="md-ellipsis">
@@ -3495,6 +3517,52 @@ <h1 id="2025">2025<a class="headerlink" href="#2025" title="Permanent link">&par
         <article class="md-post md-post--excerpt">
   <header class="md-post__header">
 
+    <div class="md-post__meta md-meta">
+      <ul class="md-meta__list">
+        <li class="md-meta__item">
+          <time datetime="2025-02-21 00:00:00+00:00">February 21, 2025</time></li>
+        
+          <li class="md-meta__item">
+            in
+            
+              <a href="../../category/fleets/" class="md-meta__link">Fleets</a></li>
+        
+        
+          
+          <li class="md-meta__item">
+            
+              3 min read
+            
+          </li>
+        
+        
+      </ul>
+      
+    </div>
+  </header>
+  <div class="md-post__content md-typeset">
+    <h2 id="supporting-intel-gaudi-accelerators"><a class="toclink" href="../../intel-gaudi/">Supporting Intel Gaudi accelerators</a></h2>
+<p>At <code>dstack</code>, our goal is to make AI container orchestration simpler and fully vendor-agnostic. That’s why we support not
+just leading cloud providers and on-prem environments but also a wide range of accelerators.</p>
+<p>With our latest release, we’re adding support
+for <a href="https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi.html" target="_blank">Intel Gaudi <span class="twemoji external"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="m11.93 5 2.83 2.83L5 17.59 6.42 19l9.76-9.75L19 12.07V5z"/></svg></span></a> and
+launching a new partnership with Intel.</p>
+<p><img src="https://github.com/dstackai/static-assets/blob/main/static-assets/images/dstack-intel-gaudi-and-intel-tiber-cloud-v2.png?raw=true" width="630"/></p>
+
+    
+      <nav class="md-post__action">
+        <a href="../../intel-gaudi/">
+          Continue reading
+        </a>
+      </nav>
+    
+    
+  </div>
+</article>
+      
+        <article class="md-post md-post--excerpt">
+  <header class="md-post__header">
+    
     <div class="md-post__meta md-meta">
       <ul class="md-meta__list">
         <li class="md-meta__item">

blog/archive/2025/index.html

@@ -3158,6 +3158,17 @@
     </label>
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
+        <li class="md-nav__item">
+  <a href="#supporting-intel-gaudi-accelerators" class="md-nav__link">
+    <span class="md-ellipsis">
+      
+        Supporting Intel Gaudi accelerators
+      
+    </span>
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#efficient-distributed-training-with-aws-efa" class="md-nav__link">
     <span class="md-ellipsis">
@@ -3422,6 +3433,17 @@
     </label>
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
+        <li class="md-nav__item">
+  <a href="#supporting-intel-gaudi-accelerators" class="md-nav__link">
+    <span class="md-ellipsis">
+      
+        Supporting Intel Gaudi accelerators
+      
+    </span>
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#efficient-distributed-training-with-aws-efa" class="md-nav__link">
     <span class="md-ellipsis">
@@ -3473,6 +3495,52 @@ <h1 id="fleets">Fleets<a class="headerlink" href="#fleets" title="Permanent link
         <article class="md-post md-post--excerpt">
   <header class="md-post__header">
 
+    <div class="md-post__meta md-meta">
+      <ul class="md-meta__list">
+        <li class="md-meta__item">
+          <time datetime="2025-02-21 00:00:00+00:00">February 21, 2025</time></li>
+        
+          <li class="md-meta__item">
+            in
+            
+              <a href="./" class="md-meta__link">Fleets</a></li>
+        
+        
+          
+          <li class="md-meta__item">
+            
+              3 min read
+            
+          </li>
+        
+        
+      </ul>
+      
+    </div>
+  </header>
+  <div class="md-post__content md-typeset">
+    <h2 id="supporting-intel-gaudi-accelerators"><a class="toclink" href="../../intel-gaudi/">Supporting Intel Gaudi accelerators</a></h2>
+<p>At <code>dstack</code>, our goal is to make AI container orchestration simpler and fully vendor-agnostic. That’s why we support not
+just leading cloud providers and on-prem environments but also a wide range of accelerators.</p>
+<p>With our latest release, we’re adding support
+for <a href="https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi.html" target="_blank">Intel Gaudi <span class="twemoji external"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="m11.93 5 2.83 2.83L5 17.59 6.42 19l9.76-9.75L19 12.07V5z"/></svg></span></a> and
+launching a new partnership with Intel.</p>
+<p><img src="https://github.com/dstackai/static-assets/blob/main/static-assets/images/dstack-intel-gaudi-and-intel-tiber-cloud-v2.png?raw=true" width="630"/></p>
+
+    
+      <nav class="md-post__action">
+        <a href="../../intel-gaudi/">
+          Continue reading
+        </a>
+      </nav>
+    
+    
+  </div>
+</article>
+      
+        <article class="md-post md-post--excerpt">
+  <header class="md-post__header">
+    
     <div class="md-post__meta md-meta">
       <ul class="md-meta__list">
         <li class="md-meta__item">

blog/category/fleets/index.html

@@ -18,6 +18,8 @@
         <link rel="prev" href="../inactive-dev-environments-auto-shutdown/">
 
 
+        <link rel="next" href="../intel-gaudi/">
+      
 
 
 
@@ -3344,11 +3346,11 @@
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
         <li class="md-nav__item">
-  <a href="#why-efa" class="md-nav__link">
+  <a href="#about-efa" class="md-nav__link">
     <span class="md-ellipsis">
 
         <span class="md-typeset">
-          Why EFA?
+          About EFA
         </span>
 
     </span>
@@ -3494,7 +3496,7 @@ <h1 id="efficient-distributed-training-with-aws-efa">Efficient distributed train
 <p><img src="https://github.com/dstackai/static-assets/blob/main/static-assets/images/distributed-training-with-aws-efa-v2.png?raw=true" width="630"/></p>
 <!-- more -->
 
-<h2 id="why-efa">Why EFA?<a class="headerlink" href="#why-efa" title="Permanent link">&para;</a></h2>
+<h2 id="about-efa">About EFA<a class="headerlink" href="#about-efa" title="Permanent link">&para;</a></h2>
 <p>AWS EFA delivers up to 400 Gbps of bandwidth, enabling lightning-fast GPU-to-GPU communication across nodes. By
 bypassing the kernel and providing direct network access, EFA minimizes latency and maximizes throughput. Its native
 integration with the <code>nccl</code> library ensures optimal performance for large-scale distributed training.</p>

blog/distributed-training-with-aws-efa/index.html

@@ -2794,6 +2794,17 @@
     </label>
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
+        <li class="md-nav__item">
+  <a href="#supporting-intel-gaudi-accelerators" class="md-nav__link">
+    <span class="md-ellipsis">
+      
+        Supporting Intel Gaudi accelerators
+      
+    </span>
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#efficient-distributed-training-with-aws-efa" class="md-nav__link">
     <span class="md-ellipsis">
@@ -2891,17 +2902,6 @@
     </span>
   </a>
 
-</li>
-      
-        <li class="md-nav__item">
-  <a href="#monitoring-gpu-usage-and-other-container-metrics" class="md-nav__link">
-    <span class="md-ellipsis">
-      
-        Monitoring GPU usage and other container metrics
-      
-    </span>
-  </a>
-  
 </li>
 
     </ul>
@@ -3497,6 +3497,17 @@
     </label>
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
 
+        <li class="md-nav__item">
+  <a href="#supporting-intel-gaudi-accelerators" class="md-nav__link">
+    <span class="md-ellipsis">
+      
+        Supporting Intel Gaudi accelerators
+      
+    </span>
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#efficient-distributed-training-with-aws-efa" class="md-nav__link">
     <span class="md-ellipsis">
@@ -3594,17 +3605,6 @@
     </span>
   </a>
 
-</li>
-      
-        <li class="md-nav__item">
-  <a href="#monitoring-gpu-usage-and-other-container-metrics" class="md-nav__link">
-    <span class="md-ellipsis">
-      
-        Monitoring GPU usage and other container metrics
-      
-    </span>
-  </a>
-  
 </li>
 
     </ul>
@@ -3631,6 +3631,52 @@ <h1 id="blog">Blog<a class="headerlink" href="#blog" title="Permanent link">&par
         <article class="md-post md-post--excerpt">
   <header class="md-post__header">
 
+    <div class="md-post__meta md-meta">
+      <ul class="md-meta__list">
+        <li class="md-meta__item">
+          <time datetime="2025-02-21 00:00:00+00:00">February 21, 2025</time></li>
+        
+          <li class="md-meta__item">
+            in
+            
+              <a href="category/fleets/" class="md-meta__link">Fleets</a></li>
+        
+        
+          
+          <li class="md-meta__item">
+            
+              3 min read
+            
+          </li>
+        
+        
+      </ul>
+      
+    </div>
+  </header>
+  <div class="md-post__content md-typeset">
+    <h2 id="supporting-intel-gaudi-accelerators"><a class="toclink" href="intel-gaudi/">Supporting Intel Gaudi accelerators</a></h2>
+<p>At <code>dstack</code>, our goal is to make AI container orchestration simpler and fully vendor-agnostic. That’s why we support not
+just leading cloud providers and on-prem environments but also a wide range of accelerators.</p>
+<p>With our latest release, we’re adding support
+for <a href="https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi.html" target="_blank">Intel Gaudi <span class="twemoji external"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="m11.93 5 2.83 2.83L5 17.59 6.42 19l9.76-9.75L19 12.07V5z"/></svg></span></a> and
+launching a new partnership with Intel.</p>
+<p><img src="https://github.com/dstackai/static-assets/blob/main/static-assets/images/dstack-intel-gaudi-and-intel-tiber-cloud-v2.png?raw=true" width="630"/></p>
+
+    
+      <nav class="md-post__action">
+        <a href="intel-gaudi/">
+          Continue reading
+        </a>
+      </nav>
+    
+    
+  </div>
+</article>
+      
+        <article class="md-post md-post--excerpt">
+  <header class="md-post__header">
+    
     <div class="md-post__meta md-meta">
       <ul class="md-meta__list">
         <li class="md-meta__item">
@@ -4089,53 +4135,6 @@ <h2 id="using-docker-and-docker-compose-inside-gpu-enabled-containers"><a class=
   </div>
 </article>
 
-        <article class="md-post md-post--excerpt">
-  <header class="md-post__header">
-    
-    <div class="md-post__meta md-meta">
-      <ul class="md-meta__list">
-        <li class="md-meta__item">
-          <time datetime="2024-10-22 00:00:00+00:00">October 22, 2024</time></li>
-        
-          <li class="md-meta__item">
-            in
-            
-              <a href="category/amd/" class="md-meta__link">AMD</a>, 
-              <a href="category/nvidia/" class="md-meta__link">NVIDIA</a>, 
-              <a href="category/monitoring/" class="md-meta__link">Monitoring</a></li>
-        
-        
-          
-          <li class="md-meta__item">
-            
-              2 min read
-            
-          </li>
-        
-        
-      </ul>
-      
-    </div>
-  </header>
-  <div class="md-post__content md-typeset">
-    <h2 id="monitoring-gpu-usage-and-other-container-metrics"><a class="toclink" href="monitoring-gpu-usage/">Monitoring GPU usage and other container metrics</a></h2>
-<h3 id="how-it-works" style="display:none"><a class="toclink" href="monitoring-gpu-usage/#how-it-works">How it works</a></h3>
-<p>While it's possible to use third-party monitoring tools with <code>dstack</code>, it is often more convenient to debug your run and
-track metrics out of the box. That's why, with the latest release, <code>dstack</code> introduced <a href="../docs/reference/cli/dstack/stats/"><code>dstack stats</code></a>, a new CLI (and API)
-for monitoring container metrics, including GPU usage for <code>NVIDIA</code>, <code>AMD</code>, and other accelerators.</p>
-<p><img src="https://github.com/dstackai/static-assets/blob/main/static-assets/images/dstack-stats-v2.png?raw=true" width="725"/></p>
-
-    
-      <nav class="md-post__action">
-        <a href="monitoring-gpu-usage/">
-          Continue reading
-        </a>
-      </nav>
-    
-    
-  </div>
-</article>
-