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Build AI on premise with Dell Enterprise Hub
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Hugging Face Blog

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Build AI on premise with Dell Enterprise Hub

Today we announce the Dell Enterprise Hub, a new experience on Hugging Face to easily train and deploy open models on-premise using Dell platforms.

Try it out at dell.huggingface.co

Enterprises need to build AI with open models

When building AI systems, open models is the best solution to meet security, compliance and privacy requirements of enterprises:

  • Building upon open models allows companies to understand, own and control their AI features,
  • Open models can be hosted within enterprises secure IT environment,
  • Training and deploying open models on-premises protects customers data.

But working with large language models (LLMs) within on-premises infrastructure often requires weeks of trial and error, dealing with containers, parallelism, quantization and out of memory errors.

With the Dell Enterprise Hub, we make it easy to train and deploy LLMs on premise using Dell platforms, reducing weeks of engineering work into minutes.

Dell Enterprise Hub: On-Premise LLMs made easy

The Dell Enterprise Hub offers a curated list of the most advanced open models available today, including Llama 3 from Meta, Mixtral from Mistral AI, Gemma from Google and more.

To access Dell Enterprise Hub, all you need is a Hugging Face account.

The Dell Enterprise Hub is designed from the ground up for enterprises, and optimized for Dell Platforms.

You can easily filter available models by their license or model size.

Once you’ve selected a model, you can review a comprehensive model card designed for enterprise use. At a glance you see key information about the model, its size, and which Dell platforms support it well.

Many models from Meta, Mistral and Google require authorization to get access to the model weights. Because Dell Enterprise Hub is built upon Hugging Face user accounts, your account entitlements transfer over to Dell Enterprise Hub, and you only need to get permission once.

Original source

This story was published by Hugging Face Blog. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on huggingface.co

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