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NVIDIA A100 | Tensor Core GPU
nvidia 认证系统™ nvidia hgx a100 合作 伙伴和配备 4、8 或 16 个 gpu 的 nvidia 认证系统 配备 8 个 gpu 的 nvidia dgx ™ a100 * 采用稀疏技术 ** sxm4 gpu 通过 hgx a100 服务器主板连接；pcie gpu 通过 nvlink 桥接器可桥接多达两个 gpu
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NVIDIA A100 Tensor Core GPU Architecture
images.nvidia.cnData Center GPU for the Age of Elastic Computing The new NVIDIA® A100 Tensor Core GPU builds upon the capabilities of the prior NVIDIA Tesla V100 GPU, adding many new features while delivering significantly faster performance for HPC, AI, and data analytics workloads. Powered by t he NVIDIA Ampere architecture- based
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NVIDIA A100 Tensor Core GPU Architecture
images.nvidia.comNVIDIA A100 Tensor Core GPU Architecture . NVIDIA DGX A100 -The Universal System for AI Infrastructure 69 Game-changing Performance 70 Unmatched Data Center Scalability 71 Fully Optimized DGX Software Stack 71 NVIDIA DGX A100 System Specifications 74 Appendix B - Sparse Neural Network Primer 76 Pruning and Sparsity 77
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docs.nvidia.comThe NVIDIA DGX™ A100 system is the universal syst em purpose-built for all AI infrastructure and workloads, from analytics to training to inference. The system is built on eight NVIDIA A100 Tensor Core GPUs. This document is for users and administrators of the DGX A100 system.
NVIDIA DGX A100 | The Universal System for AI Infrastructure
images.nvidia.comNVIDIA DGX A100 features eight NVIDIA A100 Tensor Core GPUs, which deliver unmatched acceleration, and is fully optimized for NVIDIA CUDA-X ™ software and the end-to-end NVIDIA data center solution stack. NVIDIA A100 GPUs bring Tensor Float 32 (TF32) precision, the default precision format for both TensorFlow and PyTorch AI frameworks.