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docs/source/index.mdx

@@ -19,6 +19,11 @@ As such, Optimum enables developers to efficiently use any of these platforms wi
 
 🤗 Optimum is distributed as a collection of packages - check out the links below for an in-depth look at each one.
 
+
+## Hardware partners
+
+The packages below enable you to get the best of the 🤗 Hugging Face ecosystem on various types of devices.
+
 <div class="mt-10">
   <div class="w-full flex flex-col space-y-4 md:space-y-0 md:grid md:grid-cols-3 md:gap-y-4 md:gap-x-5">
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./habana/index"
@@ -45,13 +50,31 @@ As such, Optimum enables developers to efficiently use any of these platforms wi
       ><div class="w-full text-center bg-gradient-to-br from-green-400 to-green-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">FuriosaAI</div>
       <p class="text-gray-700">Fast and efficient inference on <span class="underline" onclick="event.preventDefault(); window.open('https://www.furiosa.ai/', '_blank');">FuriosaAI WARBOY</span></p>
     </a>
+  </div>
+</div>
+
+
+## Open-source integrations
+
+🤗 Optimum also supports a variety of open-source frameworks to make model optimization very easy.
+
+<div class="mt-10">
+  <div class="w-full flex flex-col space-y-4 md:space-y-0 md:grid md:grid-cols-3 md:gap-y-4 md:gap-x-5">
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./onnxruntime/overview"
       ><div class="w-full text-center bg-gradient-to-br from-pink-400 to-pink-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">ONNX Runtime</div>
       <p class="text-gray-700">Apply quantization and graph optimization to accelerate Transformers models training and inference with <span class="underline" onclick="event.preventDefault(); window.open('https://onnxruntime.ai/', '_blank');">ONNX Runtime</span></p>
     </a>
+    <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./exporters/overview"
+      ><div class="w-full text-center bg-gradient-to-br from-green-400 to-green-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Exporters</div>
+      <p class="text-gray-700">Export your PyTorch or TensorFlow model to different formats such as ONNX and TFLite</p>
+    </a>
     <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./bettertransformer/overview"
       ><div class="w-full text-center bg-gradient-to-br from-yellow-400 to-yellow-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">BetterTransformer</div>
       <p class="text-gray-700">A one-liner integration to use <span class="underline" onclick="event.preventDefault(); window.open('https://pytorch.org/blog/a-better-transformer-for-fast-transformer-encoder-inference/', '_blank');">PyTorch's BetterTransformer</span> with Transformers models</p>
     </a>
+    <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./torch_fx/overview"
+      ><div class="w-full text-center bg-gradient-to-br from-green-400 to-green-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Torch FX</div>
+      <p class="text-gray-700">Create and compose custom graph transformations to optimize PyTorch Transformers models with <a href="https://pytorch.org/docs/stable/fx.html#">Torch FX</a></p>
+    </a>
   </div>
 </div>