Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced a $230 million commitment for startups around the world to accelerate the creation of generative AI applications.
This commitment will provide startups, especially early-stage companies, with AWS credits, mentorship, and education to further their use of artificial intelligence (AI) and machine learning (ML) technologies. Part of the new commitment will fund the second cohort of the AWS Generative AI Accelerator, a program that provides hands-on expertise and up to $1 million in credits to each of the top 80 early-stage startups that are using generative AI to solve complex challenges. Applications for the AWS Generative AI Accelerator open today and will be accepted until July 19.
“For more than 18 years, AWS has helped more startups to build, launch, and scale their business than any other cloud provider—it’s no coincidence that 96% of all AI/ML unicorns run on AWS,” said Matt Wood, vice president, Artificial Intelligence Products at AWS. “With this new effort, we will help startups launch and scale world-class businesses, providing the building blocks they need to unleash new AI applications that will impact all facets 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 AWS Inferentia2, energy-efficient AI chips that offer 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 FMs, as well as to access models and tools to easily and securely build generative AI applications through Amazon Bedrock.
AWS Generative AI Accelerator continues to launch successful startups
The AWS Generative AI Accelerator identifies top early-stage startups that are using generative AI to solve complex challenges in areas such as financial services, healthcare and life sciences, media and entertainment, business, and climate change, among others. Participants will access sessions on ML performance enhancement, stack optimization, and go-to-market strategies. The 10-week program will match participants with both business and technical mentors based on industry vertical. Startups will receive up to $1 million each in AWS credits to help them build, train, test, and launch their generative AI solutions. They will also have access to industry experts, technology, and technical sessions from NVIDIA, the program’s presenting partner, and be invited to join the NVIDIA Inception program, designed to nurture cutting-edge startups.
“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.”
AWS will announce selected startups for the second cohort on September 10, and the program will kick off on October 1 with in-person sessions at Amazon’s Seattle campus. All 80 participating startups will be invited to attend and showcase their solutions to potential investors, customers, partners, and AWS leaders in December at re:Invent 2024 in Las Vegas.
Jachin Bhasme, Leonardo.ai
“AWS has been instrumental in enabling us to scale our generative AI platform to meet the rapidly growing demand from our global user community. Their robust generative AI infrastructure helped us reduce inferencing costs by 60% and accelerate our language model inference speeds 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 to participate in the first cohort 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.”
Nima Alidoust, Vevo Therapeutics
“AWS has the right combination of technology, network of partners, and potential customers in the life sciences space that made it the best fit to support 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-driven biotechnology startup building the world’s first platform to generate high-resolution, single-cell in vivo data in living organisms at scale. “Participating in the AWS Generative AI Accelerator program provided us with valuable opportunities to tap into this community and to leverage AWS’s infrastructure and expertise in scaling model training and development.”
About Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Malaysia, Mexico, New Zealand, the Kingdom of Saudi Arabia, Taiwan, Thailand, and the AWS European Sovereign Cloud. To learn more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. For more information, visit amazon.com/about and follow @AmazonNews.
