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    DigitalOcean Launches Strategic Partnership with Hugging Face

    10/23/24 12:00:00 PM ET
    $DOCN
    Computer Software: Programming Data Processing
    Technology
    Get the next $DOCN alert in real time by email

    New 1-Click Models on DigitalOcean simplifies AI/ML model deployment in the cloud

    DigitalOcean Holdings, Inc. (NYSE:DOCN), the simplest scalable cloud, today announced a strategic partnership with Hugging Face, the leading open-source and open science platform that helps users build, deploy and train machine learning (ML) models. The cornerstone of this new partnership will be the newly available 1-Click Models powered by Hugging Face HUGS (Hugging Face GenAI Services), allowing users to quickly and easily deploy the most popular third party models with the simplicity of DigitalOcean GPU Droplets, and optimal performance powered by NVIDIA H100, accelerated computing.

    Currently, setting up AI/ML models in a cloud environment can be an arduous, complex process encompassing everything from machine configuration to endpoint security, requiring deep AI expertise and often resulting in a frustrating customer experience and less time spent on mission-critical tasks. The introduction of 1-Click Models provides a user-friendly solution that allows developers to get up and running within minutes. With our new partnership, Hugging Face users can now deploy the most popular models on DigitalOcean GPU Droplets directly from the DigitalOcean cloud console (conveniently linked from the Hugging Face model card). In just a matter of minutes, users can start building with a dedicated inference endpoint on DigitalOcean - leaving developers more time for mission-critical testing.

    "Hugging Face is the absolute gold standard in terms of AI/ML models, and has a robust community that is always pushing the limits of what can be done with this cutting edge technology, and they share our deep commitment to simplifying the developer experience," said Bratin Saha, Chief Product and Technology Officer at DigitalOcean. "We're looking forward to seeing what these users can do with our new GPU Droplets, and future opportunities to partner with the amazing community at Hugging Face."

    Available immediately, 1-Click Models will provide customers with:

    • One-click deployment of popular third party AI models such as Meta Llama 3 and Mistral, allowing users to start querying model endpoints in a matter of minutes.
    • Pre-configured Droplet setup, reducing the need for complex software/hardware configurations and complicated security setups.
    • Optimized model performance on GPU Droplets, enabling DigitalOcean developers to build production AI applications in a more cost-effective way.
    • Ongoing maintenance and support by Hugging Face, helping to ensure that customers have access to the latest optimizations and features whenever deploying a new supported model.

    "With HUGS, companies can easily build, host and control their own AI to power their production applications with out-of-the-box cost efficient deployments of open models like Llama 3.2 from Meta," said Jeff Boudier, Head of Product and Growth at Hugging Face. "I'm incredibly excited that DigitalOcean will offer HUGS with the new 1-Click Models service on its flexible cloud, at no extra cost on top of GPU Droplets, to enable developers to build their own AI features and applications."

    To learn more about the partnership, or to start your Hugging Face project on a DigitalOcean GPU Droplet, visit http://digitalocean.com/products/ai-ml/1-click-models.

    About DigitalOcean

    DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital-native businesses rapidly build, deploy and scale - whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth. For more information, visit digitalocean.com.

    About Hugging Face

    Hugging Face is the leading open platform for AI builders. The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together. With the fast-growing community, some of the most used open-source ML libraries and tools, and a talented science team exploring the edge of tech, Hugging Face is at the heart of the AI revolution.

    View source version on businesswire.com: https://www.businesswire.com/news/home/20241023768945/en/

    Get the next $DOCN alert in real time by email

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    Q&A

    New
    • What is the main highlight of the new partnership between DigitalOcean and Hugging Face?

      DigitalOcean and Hugging Face announced a partnership to simplify AI/ML model deployment in the cloud with new 1-Click Models.

    • What functionality do the 1-Click Models provide for users?

      The new 1-Click Models enable users to deploy popular AI/ML models quickly and easily using DigitalOcean's GPU Droplets.

    • How do the 1-Click Models improve the user experience for deploying AI models?

      The 1-Click Models help reduce setup complexity, allowing developers to deploy AI models without needing extensive expertise or complicated configurations.

    • What kind of support will Hugging Face offer for users of the new 1-Click Models?

      Hugging Face will maintain support and provide optimizations for users deploying new models, ensuring ongoing improvements in performance.

    • When will the 1-Click Models be available and is there any additional cost associated with using them?

      1-Click Models are available immediately at no extra cost beyond DigitalOcean's GPU Droplets, allowing for cost-effective deployment.

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