Meta announced plans to construct hyper-scale data centers optimized for both training and inference using Nvidia chip components as part of its long-term AI development roadmap.
Meta has revealed its intention to build hyper-scale data centers that will leverage Nvidia's cutting-edge GPU technology to enhance both the training and inference phases of artificial intelligence development. This initiative underscores the company's commitment to advancing AI capabilities across its platforms, which include widely-used applications such as Facebook and Instagram.
The collaboration with Nvidia will enable the large-scale integration of central processing units (CPUs) alongside millions of Nvidia GPUs, specifically the Blackwell and Rubin models. These powerful processors are expected to significantly enhance performance and efficiency in AI applications, providing a robust infrastructure that supports Meta’s ambitious AI objectives. Additionally, Nvidia's Spectrum-X Ethernet switches are set to be integrated into Meta's Facebook Open Switching System, further enhancing connectivity and data management capabilities within these new data centers.
This partnership with Nvidia marks a significant milestone as it represents the first large-scale exclusive deployment of Nvidia's Grace architecture, which has been developed through collaborative design and optimization efforts. Such technological advancements are likely to position Meta at the forefront of AI innovation, allowing for more sophisticated applications and improved user experiences across its digital platforms, while also contributing to the broader landscape of artificial intelligence development.
