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DGX A100 Server Architecture GPU Server: Dihuni OptiReady CognitX AI-A100-SXM4-8NVE HGX 8 x Ampere A100 SXM4 80GB NVLink EPYC Deep Learning GPU System

$187,187.00

Above price is for informational purposes and includes 2 x AMD EPYC Milan 7763 64 Cores/128 Threads 2.45GHz CPU, 8x Nvidia A100 80 GB GPU with SXM4 NVLink, 16 x 64GB DDR4-3200 2Rx4 Memory (1TB total), 2 x 960GB NVMe PCIe SSD for OS, 8 x 3.84TB NVMe PCIe SSD for data, 2 x 10GbE Ethernet ports.

For best pricing, please fill out the configuration form below. Educational and Inception program discounts available. Create your own NVIDIA DGX A100 HGX comparable system.

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Key Features

  • Manufacturer Part Number: AI-A100-SXM4-8NVE
  • NVIDIA DGX A100 Server Architecture with:
  • 8 x A100 NVlink 80GB GPU
  • Optional: Ubuntu Linux OS
  • Optional: NGC Docker Container for Deep Learning Pre-loaded (Packages include NVIDIA Cuda Toolkit, NVIDIA DIGITS, NVIDIA TensorRT, Keras and NVCaffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), MXNet, PyTorch, TensorFlow, Theano, Torch and others as needed
  • 4 Hot-swap heavy-duty cooling fans
  • 2200W Redundant Platinum Level Power Supplies 
  • 3 Years Manufacturer’s Warranty

 

NVIDIA NGC Pre-Loaded

The DGX A100 comparable Deep Learning server is available with NVIDIA NGC containers that can be preloaded. NGC empowers researchers, data scientists, and developers with performance-engineered containers featuring AI software like TensorFlow, Keras, PyTorch, MXNet, NVIDIA TensorRT™, RAPIDS and more. These pre-integrated containers feature NVIDIA AI stack including NVIDIA® CUDA® Toolkit, NVIDIA deep learning libraries which are easy to upgrade using Docker commands.

 

 

Description

DGX A100 Deep Learning Server Comparable Dihuni OptiReady CognitX AI-A100-SXM4-8NVE Technical Specifications

  • Manufacturer Part Number: AI-A100-SXM4-8NVE
  • NVIDIA DGX A100 Server Architecture with:
  • 8 x A100 NVlink GPU
  • Optional: Ubuntu Linux OS
  • Optional: NGC Docker Container for Deep Learning Pre-loaded (Packages include NVIDIA Cuda Toolkit, NVIDIA DIGITS, NVIDIA TensorRT, Keras and NVCaffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), MXNet, PyTorch, TensorFlow, Theano, Torch and others as needed
  • 4 Hot-swap heavy-duty cooling fans
  • 2200W Redundant Platinum Level Power Supplies 
  • 3 Years Manufacturer’s Warranty

Additional information

Weight 225 lbs
Dimensions 35.4 × 17.6 × 6.9 in
GPU Compatibility

NVIDIA A100 80GB NVLink SXM4 (HGX)

Max GPU

8

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