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NVIDIA A100 Tensor Core GPU Architecture

NVIDIA A100 Tensor Core GPU Architecture

images.nvidia.com

NVIDIA® GPUs are the leading computati onal 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, vi sualize, and turn data into insights.

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nvidia-smi.txt Page 1

nvidia-smi.txt Page 1

developer.download.nvidia.com

-L, --list-gpus List each of the NVIDIA GPUs in the system, along with their UUIDs. QUERY OPTIONS-q, --query Display GPU or Unit info. Displayed info includes all data listed in the (GPU ATTRIBUTES) or (UNIT ATTRIBUTES) sections of this document.

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Fabric Manager for NVIDIA NVSwitch Systems

Fabric Manager for NVIDIA NVSwitch Systems

docs.nvidia.com

On NVSwitch-based NVIDIA HGX A100 systems, install the c ompatible Driver for NVIDIA Data Center GPUs before installing Fabric Manager. Also as part of installation, the FM service unit file (nvidia -fabricmanager.service) will be copied to systemd location. However, the system administrator must manually enable and start the Fabric Manager ...

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How GPUs Work - NVIDIA

How GPUs Work - NVIDIA

research.nvidia.com

NVIDIA’s GeForce FX followed with both 16-bit and 32-bit floating point. Both vendors have announced plans to support 64-bit double-precision floating point in upcoming chips. To keep up with the relentless demand for graphics performance, GPUs have aggressively embraced parallel design. GPUs have long used four-wide vector registers much like

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NVIDIA A100 | Tensor Core GPU

NVIDIA A100 | Tensor Core GPU

www.nvidia.com

Interconnect NVIDIA® NVLink ® Bridge for 2 GPUs: 600GB/s ** PCIe Gen4: 64GB/s NVLink: 600GB/s PCIe Gen4: 64GB/s Server Options Partner and NVIDIA-Certified Systems™ with 1-8 GPUs NVIDIA HGX ™ A100-Partner and NVIDIA-Certified Systems with 4,8, or 16 GPUs NVIDIA DGX ™ A100 with 8 GPUs * With sparsity

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NVIDIA A100 | Tensor Core GPU

NVIDIA A100 | Tensor Core GPU

www.nvidia.com

NVIDIA Volta™ GPUs. NEXT-GENERATION NVLINK NVIDIA NVLink in A100 delivers 2X higher throughput compared to the previous generation. When combined with NVIDIA NVSwitch™, up to 16 A100 GPUs can be interconnected at up to 600 gigabytes per second (GB/ sec) to unleash the highest application performance possible on a single server.

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NVIDIA CUDA Installation Guide for Microsoft Windows

NVIDIA CUDA Installation Guide for Microsoft Windows

docs.nvidia.com

NVIDIA CUDA Installation Guide for Microsoft Windows DU-05349-001_v11.6 | 1 Chapter 1. Introduction CUDA® is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the

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