Mark Zuckerberg is doubled on Artificial Intelligence. In an adventure declaration indicating Meta’s serious intentions in the AI race, the CEO of the company revealed the plan to bring its first AI Data Superclaster – Dubbed Prometheus – Dubbed Prometheus by 2026. Infrastructure Push is part of a broad strategy that includes hundreds of billions of dollars of investment, which is in the next few years.

In a detailed Facebook post, Zuckerberg put rivals such as Openi and Google in generative AI space to capture the multi-dimensional approach of the meta. He confirmed that Meta is already building several “multi-gigawatts” AI groups, including a future-prepared system called hyperian that will be up to 5 gigawatts over the next few years.

The announcement falls on the heels of a report from the Semyalisis, which for the first time revealed information about the ongoing infrastructure work of Meta. According to the report, Meta is resorting to setting up data centers in tents in tents to speed up the deployment – a strategy that provokes Alone Musk’s “Tent Factory” during Tesla Model 3 Production Rush in 2018.

Zuckerberg accepted some of these insights in his post, adding a new division announced earlier this year-“Calculation of the leading level of the industry and so far will be the greatest calculation towards the researcher”. He also said that the company focuses on forming the “most elite and talent in the industry” to run this initiative.

While the idea of running advanced data center in tents may seem to be extreme, it reflects the urgency of the meta. Data centers are usually expensive, climate-controlled facilities, but the meta is choosing for speed-it means that it means running the AI model in a temporary setup that may need to be closed during the hottest days of summer. Meta has allegedly adopted prefab cooling modules and light structures to turn these centers “as early as soon”.

According to Business Insider, the lukewarm reception for its Lama 4AI model earlier this year disappointed Zuckerberg, inspiring him to recreate the AI Roadmap of Meta. The company has since been in a race to hire a large scale, which offers AI talent at the top of $ 100 million+ package and invests $ 14 billion on a scale-a step aimed at achieving high quality datasets.