Highlights:
  • GPU: 4x Tesla V100 32 GB
  • System Memory: 256 GB DDR4 RDIMM
  • NVIDIA CUDA Cores: 20,480
  • CPU: 20-Core Intel Xeon E5-2698 v4 2.2 GHz
Contact sales for pricing

Supercomputing Performance, at Your Desk

DGX Station™ brings the incredible performance of an AI supercomputer in a workstation form factor that takes advantage of innovative engineering and a water-cooled system that runs whisper-quiet. The NVIDIA DGX Station packs 500 teraFLOPS of performance, with the first and only workstation built on four NVIDIA Tesla® V100 accelerators, including innovations like next generation NVLink™ and new Tensor Core architecture. This groundbreaking solution offers:

  • 72X the performance for deep learning training, compared with CPU-based servers
  • 100X in speed-up on large data set analysis, compared with a 20 node Spark server cluster
  • 5X increase in bandwidth compared to PCIe with NVIDIA NVLink technology
  • Maximized versatility with deep learning training and over 30,000 images/second inferencing

Productivity That Takes You from Desk to Data Center

Deep learning platforms require software engineering expertise to keep today’s frameworks optimized for maximum performance, with time spent waiting on stable versions of open source software. This means hundreds of thousands of dollars in lost productivity, dwarfing the initial hardware cost.

NVIDIA DGX Station includes the same software stack found in all DGX solutions. This innovative, integrated system includes access to popular deep learning frameworks (Caffe, Tensorflow, Torch, Theano, etc.) updated monthly, each optimized by NVIDIA engineers for maximized performance. It also includes access to NVIDIA DIGITS™ deep learning training application, third-party accelerated solutions, the the NVIDIA Deep Learning SDK (e.g. cuDNN, cuBLAS, NCCL), CUDA® Toolkit, and NVIDIA drivers.

Built on container technology powered by NVIDIA Docker, this unified deep learning software stack simplifies workflow, saving you days in re-compilation time when you need to scale your work and deploy your models in the data center or cloud. The same workload running on DGX Station can be effort

Groundbreaking AI, at Your Desk

Now you can get the computing capacity of 400 CPU's, in a workstation that conveniently fits under your desk, drawing less than 1/20th the power. NVIDIA® DGX Station delivers incredible deep learning and analytics performance, designed for the office and whisper quiet with only 1/10th the noise of other workstations. Data scientists and AI researchers can instantly boost their productivity with a workstation that includes access to optimized deep learning software and runs popular analytics software.



Deep Learning NVIDIA GPU Solutions

DGX-1 - The Fastest Path to Deep Learning

Building a platform for deep learning goes well beyond selecting a server and GPUs. A commitment to implementing AI in your business involves carefully selecting and integrating complex software with hardware. NVIDIA® DGX-1™ fast-tracks your initiative with a solution that works right out of the box, so you can gain insights in hours instead of weeks or months.

» Click here to learn more about DGX-1


NVIDIA DGX Systems. Purpose Built for AI.


NVIDIA DGX Systems Support

NVIDIA DGX Systems support provides you with comprehensive system support and access to NVIDIA's cloud management portal. Get the most out of your NVIDIA DGX system and streamline deep learning experimentation by leveraging containerized application management, job scheduling, performance monitoring, and get software updates with NVIDIA cloud management.

» Click here to see all NVIDIA DGX Systems Support options

General Information
Manufacturer
NVIDIA
Manufacturer Part Number
985-22587-2511-D00
Manufacturer Website Address
http://www.nvidia.com
Brand Name
NVIDIA
Product Line
DGX
Product Name
DGX Station
Product Type
Graphics Computing System
Physical Characteristics
Height
25.2"
Width
10.1"
Depth
20.4"
Weight (Approximate)
88 lb
Processor & Chipset
Number of Processors Installed
2
Processor Manufacturer
Intel
Processor Type
Xeon
Processor Model
E5-2698 v4
Processor Core
20 Core
Processor Speed
2.20 GHz
GPU
Number of GPUs Installed
4
GPU Manufacturer
NVIDIA
Chipset Line
Tesla
GPU Architecture
Volta
Chipset Model
V100
Processor Core
  • 640 Tensor
  • 5120 CUDA
Double-Precision Performance
7.8 TFLOPS
Single-Precision Performance
15.7 TFLOPS
Total GPU Memory
128 GB (4x Tesla Volta V100 32 GB)
GPU Technology
SXM2 NVLINK
Memory
Standard Memory
256 GB
Memory Technology
DDR4-2133 LRDIMM
Display & Graphics
Graphics Controller Manufacturer
NVIDIA
Graphics Controller Model
V100
Onboard Video
3x DisplayPort Connector
Storage
Data
3x 1.92 TB
OS
1x 1.92 TB
Storage Type
Solid State Drive
Storage Configuration
RAID 0 (Data)
Network & Communication
Ethernet Technology
10 GbE
Number of Network Devices
2
Software
Operating System
Ubuntu Desktop Linux OS
Power Description
Input Voltage
115-240 V AC
Number of Power Supplies Installed
1
Maximum Power Consumption
1500 W
Physical Characteristics
Height
25.2"
Width
10.1"
Depth
20.4"
Weight (Approximate)
88 lb