Amazon today announced a commitment to invest $230 million (€214.87 million) to accelerate the creation of generative AI applications in startups around the world. This investment will provide startups, especially early-stage companies, with AWS credits, mentoring, and education to encourage the use of artificial intelligence (AI) and machine learning (ML) technologies.

Part of this new commitment will fund the second cohort of the AWS Generative AI Accelerator program, which offers hands-on experience and up to $1 million in credit to each of the top 80 early-stage startups using generative AI to solve challenges. complex. Applications for the AWS Generative AI Accelerator are open from June 13 to July 19.
Strategic support for AI startups

Matt Wood, vice president of AI products at AWS, highlighted AWS' long history of helping startups build, launch, and scale their businesses. According to Wood, “It is no coincidence that 96% of all AI/ML unicorns operate on AWS. With this new initiative, we will help startups launch and scale world-class businesses, providing the resources necessary to develop new AI applications that will transform the way the world learns, connects and conducts business.”

AWS Credits can be used to access AWS compute, storage, and database technologies, as well as energy-efficient AI chips like AWS Trainium and AWS Inferentia2. These credits can also be used on Amazon SageMaker, a fully managed service that helps companies build and train their own models, as well as access models and tools to create generative AI applications easily and securely through Amazon Bedrock .
AWS Generative AI Accelerator Program Success

The AWS Generative AI Accelerator selects top emerging startups that use generative AI to solve complex problems in sectors such as financial services, healthcare and life sciences, media and entertainment, business and climate change, among others. Participants will have access to sessions on optimizing ML performance, improving technology infrastructure, and market strategies. The 10-week program will pair participants with business and technical mentors based on their industry sector.

“AWS has been instrumental in allowing us to scale our generative AI platform to meet the growing demand of our global community of users. Its robust generative AI infrastructure helped us reduce inference costs by 60% and accelerate the inference speed of our language model by up to 35%,” said Jachin Bhasme, co-founder and COO of Leonardo.AI, a powerful suite of generative AI tools for creators and one of the 21 startups that participated in the first edition of the program. “The accelerator was also an incredible experience for us. The business and technical mentorship we received and the connections we made played a crucial role in shaping our product and strategy.”

They will also be guided by industry experts and technical sessions from NVIDIA, the program's lead partner, and will be invited to join the NVIDIA Inception program, designed to support innovative startups. AWS will announce the startups selected for the second edition of the program on September 10, and the program will begin on October 1 with in-person sessions at Amazon's Seattle campus.

“AWS has the right mix of technology, partner network and potential customers in the life sciences space, which made it the best support for our vision of building the next generation of AI models for drug discovery.” ,” said Nima Alidoust, Ph.D., CEO and co-founder of Vevo Therapeutics, an AI-powered biotech startup that is building the world's first platform to generate high-resolution single-cell in vivo data in large-scale living organisms. . “Participating in the AWS Generative AI Accelerator program provided us with valuable opportunities to integrate into this community and leverage AWS infrastructure and expertise in scaling model training and development.”

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