In the era of generative AI, training and deploying foundation models with billions of parameters faces enormous computational and architectural challenges…
Hugging Face announced a major partnership with Amazon Web Services (AWS), formally integrating Hugging Face's model library into the Amazon Bedrock service…
Hugging Face has announced the launch of a new Hugging Face Embedding container (Deep Learning Container, DLC) designed specifically for Amazon SageMaker. This…
Hugging Face has announced official support for AWS Inferentia2 (Inf2) instances within its hosted Inference Endpoints service. This update gives developers…
Hugging Face has announced that its enterprise-focused collaboration platform, "Enterprise Hub," is now officially available on AWS Marketplace. This…
As large language models (LLMs) such as Llama 2 become more widely adopted, achieving efficient and cost-effective inference in production environments has…
This case study examines how Fetch, a leading consumer rewards platform in the United States, leveraged the collaboration between Amazon SageMaker and Hugging…
Open-source AI community leader Hugging Face has announced an expanded partnership with Amazon Web Services (AWS), officially listing the Hugging Face Hub on…
Hugging Face and AWS have jointly announced the new "Hugging Face LLM Inference Container" — a brand-new deep learning container (DLC) purpose-built for Amazon…
With the rise of open-source large language models, deploying these models in cloud environments in a secure, stable, and scalable manner has become a critical…
Hugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine learning models from…
This technical guide, published by Hugging Face in 2021, details how to use Amazon SageMaker's managed infrastructure and distributed training capabilities to…
Hugging Face has officially announced a deep partnership with Amazon Web Services (AWS), aimed at natively integrating the Hugging Face Transformers platform…