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.
"安培架构的 GPU" 指的是基于安培架构的图形处理单元 (GPU)。安培架构是英特尔最新的芯片架构,其中的 GPU 是专门用于处理图形和图形加速任务的硬件。它与传统的 CPU 相比,具有更高的图形处理能力,可以更快地处理大量的图形数据和渲染图形。