文件名称：Nvidia 2020 安培架构GPU特性介绍
文件大小：7.41MB
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更新时间：2023-06-27 10:58:13
GPU NVIDIA ampere 安培 深度学习
NVIDIA A100 Tensor Core GPU Architecture UNPRECEDENTED ACCELERATION AT EVERY SCALE Introduction The diversity of compute-intensive applications running in modern cloud data centers has driven the explosion of NVIDIA GPU-accelerated cloud computing. Such intensive applications include AI deep learning training and inference, data analytics, scientific computing, genomics, edge video analytics and 5G services, graphics rendering, cloud gaming, and many more. From scaling-up AI training and scientific computing, to scaling-out inference applications, to enabling real-time conversational AI, NVIDIA GPUs provide the necessary horsepower to accelerate numerous complex and unpredictable workloads running in today’s cloud data centers. NVIDIA® GPUs are the leading computational engines powering the AI revolution, providing tremendous speedups for AI training and inference workloads. In addition, NVIDIA GPUs accelerate many types of HPC and data analytics applications and systems, allowing customers to effectively analyze, visualize, and turn data into insights. NVIDIA’s accelerated computing platforms are central to many of the world’s most important and fastest-growing industries. HPC has grown beyond supercomputers running computationally-intensive applications such as weather forecasting, oil & gas exploration, and financial modeling. Today, millions of NVIDIA GPUs are accelerating many types of HPC applications running in cloud data centers, servers, systems at the edge, and even deskside workstations, servicing hundreds of industries and scientific domains. AI networks continue to grow in size, complexity, and diversity, and the usage of AI-based applications and services is rapidly expanding. NVIDIA GPUs accelerate numerous AI systems and applications including: deep learning recommendation systems, autonomous machines (self-driving cars, factory robots, etc.), natural language processing (conversational AI, real-time language translation, etc.), smart city video analytics, software-defined 5G networks (that can deliver AI-based services at the Edge), molecular simulations, drone control, medical image analysis, and more.