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Add Google TPU to the mix
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docs/source/index.mdx

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@@ -25,7 +25,7 @@ As such, Optimum enables developers to efficiently use any of these platforms wi
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The packages below enable you to get the best of the 🤗 Hugging Face ecosystem on various types of devices.
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<div class="mt-10">
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<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">
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<div class="w-full flex flex-col space-y-4 md:space-y-0 md:grid md:grid-cols-4 md:gap-y-4 md:gap-x-5">
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://github.com/huggingface/optimum-nvidia"
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><div class="w-full text-center bg-gradient-to-br from-green-600 to-green-600 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">NVIDIA</div>
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<p class="text-gray-700">Accelerate inference with NVIDIA TensorRT-LLM on the <span class="underline" onclick="event.preventDefault(); window.open('https://developer.nvidia.com/blog/nvidia-tensorrt-llm-supercharges-large-language-model-inference-on-nvidia-h100-gpus/', '_blank');">NVIDIA platform</span></p>
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><div class="w-full text-center bg-gradient-to-br from-orange-400 to-orange-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">AWS Trainium/Inferentia</div>
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<p class="text-gray-700">Accelerate your training and inference workflows with <span class="underline" onclick="event.preventDefault(); window.open('https://aws.amazon.com/machine-learning/trainium/', '_blank');">AWS Trainium</span> and <span class="underline" onclick="event.preventDefault(); window.open('https://aws.amazon.com/machine-learning/inferentia/', '_blank');">AWS Inferentia</span></p>
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</a>
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="https://huggingface.co/docs/optimum-tpu/index"
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><div class="w-full text-center bg-gradient-to-tr from-blue-200 to-blue-600 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Google TPUs</div>
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<p class="text-gray-700">Accelerate your training and inference workflows with <span class="underline" onclick="event.preventDefault(); window.open('https://cloud.google.com/tpu', '_blank');">Google TPUs</span></p>
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</a>
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<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./habana/index"
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><div class="w-full text-center bg-gradient-to-br from-indigo-400 to-indigo-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Habana</div>
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<p class="text-gray-700">Maximize training throughput and efficiency with <span class="underline" onclick="event.preventDefault(); window.open('https://docs.habana.ai/en/latest/Gaudi_Overview/Gaudi_Architecture.html', '_blank');">Habana's Gaudi processor</span></p>

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