白皮书 | 2015 年 4 月 - NVIDIA

UPGRADE TO THE WORLD’S FASTEST GPU …

Count on NVIDIA Tesla K40 GPU Accelerators to solve your most demanding HPC and big data challenges. They feature 1.4 TFLOPS …

  Tesla k40 gpu, Tesla

GROMACS LAMMPS CPU NAMD HOOMD-Blue …

X0 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

NVIDIA A40 supports all four editions of NVIDIA virtual GPU software: NVIDIA vWS, NVIDIA Vi rtual Applications (vApps), NVIDIA Virtual PC (vPC), and NVIDIA Virtual Compute Server (vCS). Display On 8GB BAR1 Mode . The Display On, 8GB BAR1 mode is the recommended configuration for scalable visualization

  Nvidia, Nvidia a40

NVIDIA A10 GPU Accelerator

Overview 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 …

Neural 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 ...

  Network, Neural network, Neural

NVIDIA Jetson AGX Orin

The NVIDIA® Jetson™ platform is the ideal solution to solve the needs of these complex AI systems at the edge. The platform includes Jetson modules, which are small form-factor, high-performance computers, the JetPack SDK for end-to-end AI pipeline acceleration, and an ecosystem with sensors, SDKs, services, and products to speed up development.

  Platform

NVIDIA T4 70W LOW PROFILE PCIe GPU ACCELERATOR

T4 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.

  Ipec, Profile, Accelerator, Low profile pcie gpu accelerator

NVIDIA RTX A6000 datasheet

vGPU 软件支持 NVIDIA vPC/vApp 、NVIDIA RTX 虚拟 工作站、NVIDIA 虚拟计算服务器 vGPU 配置支持 1GB、2GB、3GB、4GB、6GB、 8GB、12GB、16GB、24GB、48GB 图形 API DirectX 12.07 10、Shader Model 5.1710、OpenGL 4.68 11、Vulkan 1.18 计算 API CUDA、DirectCompute、OpenCL™ RTX 6000 RTX A6000 0 2.5X 1X 2˝0X 1.5X 1.0X ...

  Nvidia, Vgpu

NVIDIA A2 TENSOR CORE GPU

vGPU 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

  Vgpu

NVIDIA A30 GPU Accelerator

unified 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 …

  Engine, Migration, Migration engine

Maintenance - NVIDIA 引领人工智能计算

Why the blank look? Just a temporary site glitch. Thanks for your patience.

  Nvidia