Technology giant Meta Platforms announced massive investments in developing its own artificial intelligence infrastructure. Led by CEO Mark Zuckerberg, the company plans to invest hundreds of billions of dollars over several years into building extensive data centers that will serve as the foundation for running large language models (LLMs) and multimodal systems capable of processing text, images, audio, and video.
This announcement comes at a time when global technology companies are competing for dominance in computationally intensive artificial intelligence. The question remains what the real impact of these investments will be on actual AI usage - and what it means for small and medium businesses, developers, and public institutions.
Hundreds of Billions of Dollars: Meta Aims for Absolute Control Over the AI Platform
According to American Forbes, Meta is investing between $300 and $400 billion in its own AI infrastructure. The foundation of these investments consists of tens of thousands of Nvidia H100 graphics cards, proprietary network infrastructure, and optimized software for running models like LLaMA (Large Language Model Meta AI). The result is intended to be a complete ecosystem that will run within WhatsApp, Messenger, and Instagram applications and will power new generations of Meta AI assistants.
"Investing in AI data infrastructure is not a luxury but a strategic necessity. If you want to run models with hundreds of billions of parameters, you need appropriate computing infrastructure - otherwise you end up dependent on the competition," explains David Strejc, CTO of Apertia Tech.
