The NVIDIA A100 Tensor Core GPU is based on the new NVIDIA Ampere GPU architecture, and builds upon the capabilities of the prior NVIDIA Tesla V100 GPU. Introducing the NVIDIA A100 Tensor Core GPU The NVIDIA accelerated computing platforms are central to many of the world’s most important and fastest-growing industries. In addition, NVIDIA GPUs accelerate many types of HPC and data analytics applications and systems, allowing you to effectively analyze, visualize, and turn data into insights. NVIDIA GPUs are the leading computational engines powering the AI revolution, providing tremendous speedups for AI training and inference workloads. 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. Such intensive applications include AI deep learning (DL) training and inference, data analytics, scientific computing, genomics, edge video analytics and 5G services, graphics rendering, cloud gaming, and many more. The diversity of compute-intensive applications running in modern cloud data centers has driven the explosion of NVIDIA GPU-accelerated cloud computing. This post gives you a look inside the new A100 GPU, and describes important new features of NVIDIA Ampere architecture GPUs. Today, during the 2020 NVIDIA GTC keynote address, NVIDIA founder and CEO Jensen Huang introduced the new NVIDIA A100 GPU based on the new NVIDIA Ampere GPU architecture.
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