In a groundbreaking move, Hugging Face has partnered with Cerebras to bring lightning-fast AI inference to millions of developers. By integrating Cerebras Inference into the Hugging Face Hub, the collaboration unlocks unprecedented speed, enabling developers to run the most popular AI models at more than 2,000 tokens per second—an astonishing 70 times faster than leading GPU solutions.

With this partnership, developers now have seamless API access to Cerebras-powered models like Llama 3.3 70B, further accelerating innovation across various industries.

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Hugging Face and Cerebras: Redefining AI Inference Speeds

Cerebras has set a new industry benchmark by delivering unmatched speeds for Llama 3.3 70B, processing over 2,200 tokens per second. In contrast, leading GPU-based solutions take minutes to generate responses, while Cerebras completes the same tasks in mere seconds, maintaining comparable accuracy.

“Andrew Feldman, CEO of Cerebras, expressed his enthusiasm about the partnership with Hugging Face, stating, “We’re thrilled to collaborate with Hugging Face to deliver our cutting-edge inference speeds to developers worldwide. By integrating Cerebras Inference with Hugging Face, we’re making it easier and faster for developers to work with open-source AI models, unlocking new possibilities for innovation across industries.”

How Developers Can Benefit from This Integration

For the five million developers already leveraging Hugging Face’s Inference API, this integration offers a seamless transition to a faster provider. Developers can easily choose “Cerebras” as their Inference Provider on the Hugging Face platform and immediately experience the speed and efficiency of Cerebras-powered AI models.

Why Speed and Accuracy Matter in AI Inference

As AI applications demand higher token counts and advanced real-time reasoning capabilities, fast and precise inference becomes essential. Open-source models optimized for the Cerebras CS-3 architecture now offer performance levels between 10 to 70 times faster than traditional GPU-based models. This advancement empowers developers to build and deploy AI solutions more effectively, without compromising accuracy.

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“Cerebras has set the standard for inference speed and performance, and we’re excited to collaborate in bringing this cutting-edge capability to open-source models for our developer community,” said Julien Chaumond, CTO of Hugging Face.

FAQs

1. How does Cerebras Inference compare to traditional GPU solutions?

Cerebras Inference runs models at speeds over 2,000 tokens per second, making it up to 70 times faster than leading GPU-based solutions. This allows for near-instantaneous response times and significantly reduces compute costs.

2. How can developers access Cerebras Inference on Hugging Face?

Developers can easily switch to Cerebras Inference by selecting “Cerebras” as their preferred provider in the Hugging Face platform. The integration ensures a smooth and efficient transition without additional setup.

3. Which AI models are supported by Cerebras Inference?

Cerebras Inference supports some of the most popular open-source models, including Llama 3.3 70B, with plans to expand support for additional models in the future.

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