Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, in collaboration with Meta, opened applications for a new program focused on supporting startups building innovative AI solutions with Llama models. Applications open today and will be accepted until August 8, 2025.
Thirty of the most promising U.S. startups will be selected to join this six-month program, designed to accelerate real-world adoption of Llama models by removing technical roadblocks and helping teams build and iterate faster. Participating startups will receive up to $200,000 in AWS promotional credits, technical office hours with AWS and Meta engineers, dedicated support from AWS’s Llama and generative AI experts, and exclusive access to a private Discord channel with Meta’s Llama team for easy technical support.
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“Foundation models like Llama are fueling a new wave of AI applications that prioritize flexibility, transparency, and developer control,” said Jon Jones, VP & Global Head of Startups and Venture Capital at AWS. “This collaboration between AWS and Meta will empower founders to turn bold ideas into transformative products faster. By combining world-class technical mentorship, powerful compute, and strategic go-to-market support, we’re giving startups the tools to shape the future of AI.”
“We developed Llama because we believe greater access to powerful models is essential for driving progress in AI,” said Ash Jhaveri, VP of AI Partnerships at Meta. “Our goal is to give developers and researchers the flexibility to experiment, adapt, and build responsibly. Startups are some of the most creative forces in tech, and we’re looking forward to seeing how they’ll use Llama to push boundaries, explore new frontiers, and shape the future of AI in bold and unexpected ways.”
The program is open to early-stage startups (Seed to Series B) located in the U.S. who are building innovative AI applications using Llama models. Applications will be selected based on the potential impact of the proposed solutions and the technical ability of the startups’ teams.
Source: AWS
