8-GPU Rackserver for AI-Workloads
For AI training and AI applications - with Tensorflow, PyTorch, and others

 

 

 

CADnetwork Deep Learning Box Rack 8GPU for Tensorflow and Caffe

 

Ready-To-Train - With preconfigured Software-Stack for AI Training and Inference.


The 8-GPU rack server delivers stable high performance for demanding AI workloads such as training, LLM fine-tuning, and inference.
The system is equipped with a dedicated software stack for AI and deep learning applications (Docker-based) and can be easily expanded with your own frameworks and containers.

 

 

Speed up your AI workloads

Buy Deep Learning Box

from 19.890€

Features

The complete solution for all major deep learning frameworks


The Deep Learning Box is optimized and set-up for all major deep learning frameworks like TensorFlow, Caffe2, Theano or Torch.
Set-Up. Connect. Train.

 

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

Lets Get Ready To Train


Start with the training of neuronal networks without having to deal with hardware questions and installation. The Deep Learning Box is already set-up for Tensorflow, Caffe2 or another framework of your choice.

 

 

Deep Learning Machine Learning Tensorflow

Multi-GPU support


The Deep Learning Box supports up to ten NVIDIA GPUs with high performance and provides remarkable AI-results in a minimum of time.

 

 

Deep Learning Box Rack 8GPU for Tensorflow

 

Features
PCIe NVMe SSD
24x HDD / SSD
Features
Dual Processor
Intel Xeon SP
Features
up to ten
NVIDIA GPUs
Features
up to 1.5TB DDR4
Main memory

With dual Intel® Xeon® SP processors


Dual Intel Xeon

 

Two Intel Xeon Scalable processors with up to 56 cores provide a maximum of performance for complex calculations. The DDR4 memory controller supports up to 1.5TB. Two Xeon SP processors provide 80 PCI-express lanes to ensure full performance of all eight GPUs.

Contact Us

Central:
+49 2236 30 903 - 0

Pre-Order Questions:
+49 2236 30 903 - 10

After-Buy Support:
+49 2236 30 903 - 20

Telefax:
+49 2236 30 903 - 29

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