Next-Gen Data Center : Our next-generation data center design will support our current products while enabling future generations of AI hardware for both training and inference.

By deploying both MTIA chips and GPUs, we’ll deliver better performance, decreased latency, and greater efficiency for each workload.

MTIA provides greater compute power and efficiency than CPUs, and it is customized for our internal workloads.

MTIA (Meta Training and Inference Accelerator) : This is our in-house, custom accelerator chip family targeting inference workloads.Now, we’re advancing our infrastructure in exciting new ways: AI has been an important part of these systems for many years, from our Big Sur hardware in 2015 to the development of PyTorch to and our supercomputer for AI research. Since breaking ground on our first data center back in 2010, we’ve built a global infrastructure that currently serves as the engine for the more than three billion people who use our family of apps every day. We’re even reimagining how we code by deploying CodeCompose, a generative AI-based coding assistant we developed to make our developers more productive throughout the software development lifecycle.īy rethinking how we innovate across our infrastructure, we’re creating a scalable foundation to power emerging opportunities in areas like generative AI and the metaverse. AI is already at the core of our products, enabling better personalization, safer and fairer products, and richer experiences while also helping businesses reach the audiences they care about most. These efforts - and additional projects still underway - will enable us to develop larger, more sophisticated AI models and then deploy them efficiently at scale. This includes our first custom silicon chip for running AI models, a new AI-optimized data center design and the second phase of our 16,000 GPU supercomputer for AI research. We are executing on an ambitious plan to build the next generation of Meta’s AI infrastructure and today, we’re sharing some details on our progress.

Our artificial intelligence (AI) compute needs will grow dramatically over the next decade as we break new ground in AI research, ship more cutting-edge AI applications and experiences across our family of apps, and build our long-term vision of the metaverse.

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