Meta Launches Llama Startup Program for Generative AI Development

May 22, 2025
Meta has introduced the Llama Startup Program to support early-stage startups in developing generative AI applications using its Llama models.
Meta Launches Llama Startup Program for Generative AI Development
Image: Meta

Meta Platforms, Inc. has introduced the Llama Startup Program to support early-stage startups in developing generative AI applications using its Llama models. The program offers direct support from Meta's Llama team and potential funding for eligible U.S.-based startups. Companies that have raised less than $10 million and have at least one developer on staff can apply by May 30, 2025.

Participants in the program may receive up to $6,000 per month for six months to offset costs associated with building and enhancing their AI solutions. This initiative aims to provide startups with the resources needed to innovate and scale their technologies without immediate financial constraints. The program also includes hands-on technical support to help startups effectively leverage Llama's capabilities.

The launch of this program is part of Meta's broader strategy to strengthen its position in the competitive open model space, where it faces challenges from rivals like DeepSeek and Google's AI initiatives.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.