In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make it effortless to train, fine-tune, and deploy Hugging Face models using Amazon SageMaker, AWS Trainium, and AWS Inferentia. Developers using Hugging Face can now optimize performance and lower cost to bring generative AI applications to production faster.
We are happy to announce a generative AI roadshow in North America where you can meet with Hugging Face and AWS experts, learn about the latest developments in generative AI, and get hands-on experience with fine-tuning and deploying foundation models. As part of this roadshow, Julien Simon, Chief Evangelist at Hugging Face, will travel to eight AWS headquarters across North America between April and June. You can meet with Julien and AWS experts to dive deep into your use cases and learn how AWS and Hugging Face can help.
The following are the cities and dates for the 2024 roadshow:
Seattle, WA: April 9–11
San Francisco, CA: April 12
Santa Clara, CA: April 15, April 17
Los Angeles, CA: April 18–19
Boston, MA: April 22–23
New York City, NY: April 24–26
Austin, TX: May 28–31
Arlington, Washington DC: June 3–5
You can participate in the roadshow in two ways:
Request a 1:1 meeting with Julien Simon and AWS experts. Reach out to your AWS Account Manager or submit your request.
Register for an in-person, hands-on developer workshop in one of the following four cities, to learn how to deploy open source models from Hugging Face to build generative AI applications while reducing production costs with SageMaker and AWS Inferentia2:
Register for Seattle
Register for Santa Clara
Register for NYC
Register for Austin
For further inquiries, reach out to the AMER Hugging Face roadshow organizers.
We look forward to seeing you there. To learn more about the AWS collaboration with Hugging Face, visit the Amazon SageMaker resources and AWS Inferentia and Trainium space on the Hugging Face website.
About the authors
Shruti Koparkar is a Senior Product Marketing Manager at AWS. She helps customers explore, evaluate, and adopt Amazon EC2 accelerated computing infrastructure for their machine learning needs.
Hoko Hongo is a Senior GTM Specialist at AWS, supporting go-to-market and customer acceleration programs to further the customer’s generative AI journey.
