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@@ -8,7 +8,7 @@
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Build and Install &#8212; MLX 0.27.1 documentation</title>
<title>Build and Install &#8212; MLX 0.28.0 documentation</title>
@@ -36,7 +36,7 @@
<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
<script src="_static/documentation_options.js?v=cbfecad8"></script>
<script src="_static/documentation_options.js?v=60827de6"></script>
<script src="_static/doctools.js?v=9a2dae69"></script>
<script src="_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="_static/scripts/sphinx-book-theme.js?v=887ef09a"></script>
@@ -137,8 +137,8 @@
<img src="_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.27.1 documentation - Home"/>
<script>document.write(`<img src="_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.27.1 documentation - Home"/>`);</script>
<img src="_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.28.0 documentation - Home"/>
<script>document.write(`<img src="_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.28.0 documentation - Home"/>`);</script>
</a></div>
@@ -962,7 +962,7 @@ It is highly recommended to use macOS 14 (Sonoma)</p>
<section id="cuda">
<h3>CUDA<a class="headerlink" href="#cuda" title="Link to this heading">#</a></h3>
<p>MLX has a CUDA backend which you can install with:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span><span class="s2">&quot;mlx[cuda]&quot;</span>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>mlx<span class="o">[</span>cuda<span class="o">]</span>
</pre></div>
</div>
<p>To install the CUDA package from PyPi your system must meet the following
@@ -978,7 +978,7 @@ requirements:</p>
<section id="cpu-only-linux">
<h3>CPU-only (Linux)<a class="headerlink" href="#cpu-only-linux" title="Link to this heading">#</a></h3>
<p>For a CPU-only version of MLX that runs on Linux use:</p>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span><span class="s2">&quot;mlx[cpu]&quot;</span>
<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>mlx<span class="o">[</span>cpu<span class="o">]</span>
</pre></div>
</div>
<p>To install the CPU-only package from PyPi your system must meet the following