In an effort to intensify efforts to turn the technology into products, Meta CEO Mark Zuckerberg announced that the company was bringing its AI research team "closer together" with a more business-focused generative AI team that was established last year.

Zuckerberg stated in posts on Meta's Instagram and Threads platforms that the social media behemoth was expanding its infrastructure to handle the demand and anticipated having roughly 350,000 H100 GPUs (graphics processing units) from chip maker Nvidia by the end of the year.

By the end of the year, Meta will have roughly 600,000 GPUs overall thanks to comparable chips from other vendors, he said.

When completed, that quantity would rank Meta's system among the biggest in the technology sector.

In comparison, Oracle launched a system with 32,000 Nvidia H100 GPUs last October, while Amazon said that it was constructing a system with 100,000 of its Trainium2 CPUs.

After years of delivering cutting-edge research on the technology through its FAIR team, Meta has been rushing to assemble its computer arsenal to enable a mobilization around generative AI this past year.

However, the company has been focusing little on integrating the technology into its core social media products and AR/VR hardware devices.

In an attempt to address this, the corporation assembled a "GenAI" team last year, following the breakthrough success of OpenAI's ChatGPT chatbot in late 2022.

Since then, Meta has introduced a commercial version of their large language model called Llama, as well as a chatbot known as "Meta AI" that can be accessed directly through its Ray-Ban smart glasses and ad tools that can create visual backgrounds from word inputs.