白皮书 | 2015 年 4 月 - NVIDIA
nvidia 加速器 ® tesla ® k80 白皮书 | 2015 年 4 月 应用于科学计算与数据分析领域的全球最快 加速器详解。..... 1
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UPGRADE TO THE WORLD’S FASTEST GPU …
www.nvidia.cnCount on NVIDIA Tesla K40 GPU Accelerators to solve your most demanding HPC and big data challenges. They feature 1.4 TFLOPS …
GROMACS LAMMPS CPU NAMD HOOMD-Blue …
www.nvidia.cnX0 X5 X10 X15 X20 X25 CPU M2090 K20 K80 STAC-A2* RTM* SPECFEM3D Caffe miniFE LSMS Cloverleaf CHROMA TeraChem* Quantum Espresso QMCPACK HOOMD-Blue NAMD LAMMPS GROMACS
NVIDIA A40 GPU Accelerator
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NVIDIA A10 GPU Accelerator
www.nvidia.cnOverview The NVIDIA® A10 Tensor Core graphics processing unit (GPU) delivers a versatile platform for Graphics and Video processing, as well as Deep Learning Inferencing in distributed computing environments. It combines the 2nd generation NVIDIA® TensorRT™ cores, 3rd generation tensor cores with 24 GB of GDDR6 memory in a single-slot 10.5-inch PCI Express …
ImageNet Classification with Deep Convolutional Neural …
www.nvidia.cnNeural Networks Alex Krizhevsky University of Toronto kriz@cs.utoronto.ca Ilya Sutskever University of Toronto ilya@cs.utoronto.ca Geoffrey E. Hinton University of Toronto hinton@cs.utoronto.ca Abstract We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest ...
NVIDIA Jetson AGX Orin
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www.nvidia.cnT4 is a single-slot, low-profile, 6.6-inch PCI Express Gen3 Universal Deep Learning Accelerator based on the TU104 NVIDIA graphics processing unit (GPU). The T4 has 16 GB GDDR6 memory and a 70 W maximum power limit. The T4 is offered as a passively cooled board that requires system air flow to operate the card within its thermal limits.
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www.nvidia.cnvGPU software support² NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, NVIDIA Virtual Compute Server (vCS) ¹ With sparsity ² Supported in future vGPU release System ˘on gurat on ˘PU HPE DL380 en10 Plus, 2S Xeon old 6330N HP
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www.nvidia.cnunified virtual memory, and page migration engine capability. The Multi-Instance GPU (MIG) feature ensures quality of service (QoS) with secure, hardware-partitioned, right-sized GPUs across all compute workloads for a diverse set of users and maximizes the …
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