Features

The complete solution for all established deep learning frameworks

The Deep Learning Appliance is optimized for all established deep learning frameworks and comes pre-installed with TensorFlow, Caffe2, PyTorch etc.
Deploy. Connect. Train.

 

Tensorflow Deep LearningCaffe Deep LearningTheano Deep LearningTorch Deep Learning NVIDIA digits NVIDIA Preferred Solution Provider CADnetwork NVIDIA CUDNN Library

Let's Get Ready to Train

Start training your neural networks without worrying about hardware, installation or configuration issues. The Deep Learning Appliance is readily configured for Tensorflow, Caffe2 or another framework you choose.

 

 

Deep Learning Machine Learning Tensorflow

Multi GPU Support

The Deep Learning Appliance 1U supports up to four NVIDIA GPUs with extreme computing power for tremendous AI results in the shortest time.

 

 

Deep Learning Appliance 1U

 

Features
up to four
NVIDIA Tesla V100 GPUs
Features
dual processor
Intel Xeon SP
Features
up to 768GB DDR4
Arbeitsspeicher
Features
PCIe NVMe SSD
2x HDD / SSD

With dual Intel® Xeon® SP processors

Dual Intel Xeon

 

Two Intel Xeon Scalable processors with up to 56 cores power the Deep Learning Appliance and deliver maximum performance for demanding computations. The integrated DDR4 memory controller enables a memory expansion of up to 1.5TB. In total, the two Xeon SP processors provide 80 PCI Express lanes, so that there is no bottleneck when using eight GPUs.

Technical Data

Technical Data

  • Processor
  • GPU Support
  • Memory max.
  • Storage
  • Network
  • Connection ports
  • Expansion slots
  • Remote management
  • Power supply
  • Software
  • Dimensions
  • Warranty

Deep Learning Appliance 1U

  • 2x Intel® Xeon™ SP Skylake processors Gen1 und 2
    up to 56 Cores
  • 4x NVIDIA Tesla V100 32GB
    SXM2 modules with NVLink technology
  • up to 3TB 3DS DDR4-RAM 2933 MHz ECC registered
    12 Slots
  • 1x NVMe M.2 SSD 2260,2280,22110
    4x SSD/HDD SATA 6GB/s
  • 2x 10 Gigabit LAN Intel
    1x management LAN
  • 2x USB 3.1 Gen1; 3x LAN; 1x D-Sub (VGA)
  • 2x PCI-E 3.0 x16 LP
    2x PCI-E 3.0 x16 FH slots
  • IPMI 2.0 with KVM and virtual media over LAN
  • redundant 2000W power supply 80+ Titanium
    100/240V, 50/60Hz
  • Ubuntu 18.04 LTS
    NVIDIA GPU driver, CUDA, CuDNN
    Ready-to-Brain Docker Container with
    Tensorflow, Caffe2, Torch
  • 1U Chassis
    437 x 43 x 894 mm WHD
  • 36 months

Buy

Here you can find our standard configurations:

 

 

Downloads