DGX Station Deep Learning Workstation

The DGX Station is a complementary product to the DGX-1 server, enabling you to develop deep neural networks in a low latency environment before scaling them out to a data centre. Unlike earlier desk side deep learning workstations, the DGX Station is specifically designed for the office, with special low noise components and a convenient tower form factor.

Configure DGX Station

DGX Station Performance

Like the DGX-1 server, the DGX Station is based on the latest NVIDIA Tesla V100 GPUs. These are based on the innovative Volta architecture that combines the performance of thousands of traditional CUDA cores with hundreds of the new Tensor cores that are specifically optimised for deep learning. With four Tesla V100 cards, the DGX Station has 20,480 CUDA cores and 2,560 Tensor cores, providing a dramatic performance increase over previous generation deep learning workstations.


DGX Station

4x GPU Workstation

Dual CPU Server

7.4 Hours

15 Hours

18 Hours

711 Hours

Time to train ResNet50, 90 epochs to solution


DGX Station

4x GPU Workstation

Dual CPU Server





Half-precision (FP16) performance

DGX Station Architecture

Packing in 480 TFLOPS of FP16 performance the DGX Station is specially designed for deep learning and data analytics from the ground up. This includes the four Telsa V100 GPUs, which are linked together by the special NVLink bus, which communicates at 200GB/sec, more than five times faster than PCI-E, which operates at 32GB/sec. The diagram below highlights some of the key components in the DGX Station.

DGX Station Architecture
1 NVIDIA Tesla V100 The most advanced AI GPU ever built, optimised for AI with Tensor Core architecture.
2 Next Generation NVIDIA NVLink High-speed interconnect 200GB/s per GPU, 5X faster than current 16x PCI-E 3.0 interconnections.
3 Water Cooling Designed to be whisper quiet, making it a perfect addition to your desk while still being optimized for performance.
4 Intel Xeon CPU Optimised for boot, storage management, and deep learning framework coordination.
5 Three Display Ports All fully supporting 4K monitor resolution.
6 1/20 The Power Consumption One DGX Station has the compute capacity of four racks of servers, and requires much less power.

DGX Station Software

The DGX Station is much more than a GPU Workstation, it is a deep learning solution comprising a finely tuned combination of hardware and software. Running a GPU-optimised version of Ubuntu Server Linux, the software stack comprises drivers, the NVDocker container tool, deep learning SDK, NVIDIA Cloud Management Service plus NVIDIA DIGITS which is used to run deep learning frameworks such as Caffe, Torch, TensorFlow and many more.

The Operating System (Ubuntu Server Linux) is optimised to take advantage of the hardware and software features of the system and CUDA 8, especially with respect to memory management and hardware communications.

The deep learning frameworks provided with the system are especially optimised to take advantage of the NVlink communication links among other enhancements, in order to optimize multi-GPU communication in the system.

Deep Learning Software Deep Learning Software

Deep Learning Frameworks

Deep Learning User SortwareNVIDIA DIGITS

Accelerated Solutions

ManagementNVIDIA Cloud Management Service

Deep Learning LibrariesNVIDIA cuDNN and NCCL

Containerization ToolNVDocker

GPU DriverNVIDIA GPU Compute Driver Software

SystemGPU-Optimized Linux Server OS

DGX Station Specification

DGX Station
GPUs 4x NVIDIA Tesla V100
CUDA cores 20,480
Tensor cores 2,560
GPU RAM 16GB next-gen HBM2 memory per GPU
CPUs Intel Xeon E5 2698 v4
CPU Cores 20 physical + 20 HyperThreading
System RAM 256GB ECC Registered DDR4 2133MHz
Storage 1.92TB SSD for OS, 3x 1.92TB SSD (RAID 0) for data
Display Outputs 3x DisplayPort
Network Dual 10Gb LAN
Operating System Ubuntu Linux Server
Form Factor Tower
Dimensions 256 x 518 x 639mm (W x D x H)
Weight 40kg
Operating Ambient Temperature 10 – 30°C
Noise Up to 35 dB

DGX Station Support

With the DGX Station you get access to Scan’s in-house system engineers and data scientists plus enterprise-grade support with deep learning expertise from NVIDIA. Support facilities include:

Direct access to NVIDIA technical engineers
24/7 phone support
Software upgrades and updates
Hardware support, including firmware upgrades, remote and onsite support
Next-day shipment of replacement parts
Online knowledge base

Contact Us

Scan is an NVIDIA Elite Solution Provider for Deep Learning and offers a range of reliable, high performance server solutions, fully customisable to your needs.

01204 474747