Cloudflare, Inc. (NYSE: NET), a prominent connectivity cloud company, has unveiled a groundbreaking partnership with Meta to make the Llama 2 open source large language model (LLM) readily available to developers seeking to build AI applications on Cloudflare’s developer platform, Workers.
Eliminating Barriers to LLM Access
Historically, accessing large language models presented a challenge, as it often necessitated costly investments in time, computational resources, and finances. Developers could only obtain access through proprietary models. Meta’s release of Llama 2 marked a significant turning point by providing a publicly available LLM. Nevertheless, it still required developers to handle the infrastructure for running the model.
Empowering Over a Million Developers
Cloudflare’s partnership with Meta opens up new horizons for developers. Over a million developers already engaged with Cloudflare can now leverage Llama 2 to enhance their applications. The exceptional reach of Cloudflare’s hyper-distributed edge network ensures that developers worldwide can harness the potential of Llama 2. Moreover, Cloudflare’s Data Localization Suite empowers developers to retain control over how and where their data is processed. This privacy-centric approach safeguards customer trust by ensuring that data used for inference remains separate from data used for training or enhancing the LLM.
Quote from Matthew Prince, CEO and Co-founder of Cloudflare
“By granting every developer effortless access to Llama 2, one of the most robust LLMs available, without the need for complex configurations, we’re poised to drive generative AI to unprecedented heights. Meta has long been a stalwart supporter of the open source community, and extending this commitment to the field of AI will ensure that powerful AI capabilities are within reach for all developers and their global communities, all while upholding data localization principles.”
Cloudflare’s strategic alliance with Meta not only democratizes access to Llama 2 but also paves the way for the democratization of AI development, enabling developers worldwide to harness the potential of large language models with ease and data privacy at the forefront.