This commitment will provide startups, especially early-stage companies, with AWS credits, services, and training to further their use of artificial intelligence (AI) and machine learning (ML) technologies.

Part of the new commitment includes providing companies participating in the second round of the AWS Generative AI Accelerator with practical expertise and up to $1 million in AWS credits for each of the top 80 early-stage startups using generative AI to solve complex problems.

“Over the past 18 years, AWS has helped more startups form, launch, and scale their businesses than any other cloud provider,” said Matt Wood, Vice President of Artificial Intelligence Products at AWS. “It’s no coincidence that 96% of AI/ML unicorns operate on AWS. With this new commitment, we will help startups grow and scale into world-class enterprises, providing them with what they need to create new AI applications that can impact every aspect of how the world learns, connects, and does business.”

Startups can use AWS credits to access AWS compute, storage, and database technologies, as well as AWS Trainium and AWSInferentia2, energy-efficient AI chips that deliver high performance at the lowest cost. These credits can also be used on Amazon SageMaker, a fully managed service that helps companies build and train their own platform (FM) models, as well as access models and tools to easily and securely develop generative AI applications through Amazon Bedrock.

The AWS Generative AI Accelerator program identifies a pipeline of leading early-stage startups using generative AI to solve complex problems in areas such as financial services, healthcare and life sciences, media and entertainment, business, and climate change.

AWS is expected to announce the list of startups selected to participate in phase 2 of this program on September 10, 2024.