NVIDIA Grace Family: Revolutionizing Data Center Efficiency
The post NVIDIA Grace Family: Revolutionizing Data Center Efficiency appeared on BitcoinEthereumNews.com.
Luisa Crawford Aug 02, 2024 15:21 NVIDIA’s Grace CPU family aims to meet the growing demands for data processing with high efficiency, leveraging Arm Neoverse V2 cores and a new architecture. The exponential growth in data processing demand is projected to reach 175 zettabytes by 2025, according to the NVIDIA Technical Blog. This surge contrasts sharply with the slowing pace of CPU performance improvements, highlighting the need for more efficient computing solutions. Addressing Efficiency with NVIDIA Grace CPU NVIDIA’s Grace CPU family is designed to tackle this challenge. The first CPU developed by NVIDIA to power the AI era, the Grace CPU features 72 high-performance, power-efficient Arm Neoverse V2 cores, NVIDIA Scalable Coherency Fabric (SCF), and high-bandwidth, low-power LPDDR5X memory. The CPU also boasts a 900 GB/s coherent NVLink Chip-to-Chip (C2C) connection with NVIDIA GPUs or other CPUs. The Grace CPU supports multiple NVIDIA products and can pair with NVIDIA Hopper or Blackwell GPUs to form a new type of processor that tightly couples CPU and GPU capabilities. This architecture aims to supercharge generative AI, data processing, and accelerated computing. Next-Generation Data Center CPU Performance Data centers face constraints in power and space, necessitating infrastructure that delivers maximum performance with minimal power consumption. The NVIDIA Grace CPU Superchip is designed to meet these needs, offering outstanding performance, memory bandwidth, and data-movement capabilities. This innovation promises significant gains in energy-efficient CPU computing for data centers, supporting foundational workloads such as microservices, data analytics, and simulation. Customer Adoption and Momentum Customers are rapidly adopting the NVIDIA Grace family for various applications, including generative AI, hyper-scale deployments, enterprise compute infrastructure, high-performance computing (HPC), and scientific computing. For instance, NVIDIA Grace Hopper-based systems deliver 200 exaflops of energy-efficient AI processing power in HPC. Organizations such as Murex, Gurobi, and Petrobras are experiencing compelling performance…
Filed under: News - @ August 4, 2024 3:08 pm