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March 23, 2021

AWS Announced Strategic Partnership with Hugging Face NLP Startup

March 23, 2021 — Today, AWS announced a strategic partnership with Hugging Face, one of the fastest-growing NLP startups who just secured its $40M in Series B funding this month.

Hugging Face has selected AWS as its preferred cloud provider, recently migrating all of its compute and machine learning workloads to AWS. A global leader in open-source NLP models, Hugging Face provides one of the most popular ML packages ever developed for the open source community, with a vast library of over 5,000 pre-trained NLP models available in over 140 languages.

The Partnership Includes: 

  • The general availability of Hugging Face Deep Learning Container (DLC), so developers can quickly get started building applications with state-of-the-art language models available through Hugging Face on Amazon SageMaker. With SageMaker, customers can take NLP model experimentation from days to minutes using its easy-to-use integrated development environment (IDE) to track and compare training experiments.
  • By leveraging the full capabilities of Amazon SageMaker Studio, Hugging Face and AWS are also enabling developers to choose their own machine learning framework such as PyTorch or TensorFlow for running NLP containers with one or multiple GPUs.

It can be expensive and difficult for startups and other businesses to take advantage of NLP and scale it across their global operations, especially when they don’t have in-house access to machine learning expertise and resources. The AWS-Hugging Face partnership addresses these challenges, by democratizing access to NLP models for businesses of all sizes and for developers regardless of skill-level and expertise, worldwide.

You can learn more about the partnership in the AWS blog post here, and Hugging Face blog post here. Let me know if you have any questions.

Source: AWS