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---
title: README
emoji: 🐢
colorFrom: purple
colorTo: gray
sdk: static
pinned: false
---
<div class="grid lg:grid-cols-3 gap-x-4 gap-y-7"
<p class="lg:col-span-3">
Intel and Hugging Face are collaborating to push the state of the art
in Machine Learning workloads efficiency and performance.
</p>
<a
href="https://github.com/huggingface/optimum"
class="block overflow-hidden group"
>
<div
class="w-full h-40 object-cover mb-10 bg-indigo-100 rounded-lg flex items-center justify-center dark:bg-gray-900 dark:group-hover:bg-gray-850"
>
<img
alt=""
src="/blog/assets/25_hardware_partners_program/carbon_inc_quantizer.png"
class="w-40"
/>
</div>
<div class="underline">Quantize Transformers with Intel Neural Compressor and Optimum</div>
</a>
<a href="https://huggingface.co/blog/bert-cpu-scaling-part-2" class="block overflow-hidden group">
<div
class="w-full h-40 object-cover mb-10 bg-indigo-100 rounded-lg flex items-center justify-center dark:bg-gray-900 dark:group-hover:bg-gray-850"
>
<img
alt=""
src="/blog/assets/21_bert_cpu_scaling_part_1/imgs/numa_set.png"
class="w-40"
/>
</div>
<div class="underline">Scaling up BERT on CPU</div>
</a>
<a
href="https://www.intel.com/content/www/us/en/artificial-intelligence/overview.html"
class="block overflow-hidden group"
>
<div
class="w-full h-40 object-cover mb-10 bg-indigo-100 rounded-lg flex items-center justify-center dark:bg-gray-900 dark:group-hover:bg-gray-850"
>
<img
alt=""
src="/blog/assets/35_bert_cpu_scaling_part_2/oneapi.jpg"
class="w-40"
/>
</div>
<div class="underline">Intel Artificial Intelligence Solutions</div>
</a>
<div class="lg:col-span-3">
<p class="mb-2">
Intel optimizes the most widely adopted and innovative AI software
tools, frameworks, and libraries for Intel® architecture. Whether
you are computing locally or deploying AI applications on a massive
scale, your organization can achieve peak performance with AI
software optimized for Intel Xeon Scalable platforms.
</p>
<p class="mb-2">
Intel’s engineering collaboration with Hugging Face offers Data
Scientists and Machine Learning Engineers state of the art performance
when using state of the art Transformer models from training to
production.
</p>
</div>
</div> |