World-Class Computing Performance in the Hands of Your Team

Your data science team depends on computing performance to gain insights and innovate faster through the power of AI and deep learning. Designed for your data science team, NVIDIA® DGX Station™ is the world’s fastest workstation for leading-edge AI development. DGX Station is the only workstation with four NVIDIA® Tesla® V100 Tensor Core GPUs, integrated with a fully connected four-way NVIDIA NVLink™ architecture. With 500 TFLOPS of supercomputing performance, your entire data science team can experience over 2X the training performance of today’s fastest workstations.

Experiment faster and iterate more frequently for effortless productivity.


GPUs 4X Tesla V100
TFLOPS (Mixed precision) 500
GPU Memory 128 GB total system
NVIDIA Tensor Cores 2,560
NVIDIA CUDA® Cores 20,480
CPU Intel Xeon E5-2698 v4 2.2 GHz (20-Core)
System Memory 256 GB RDIMM DDR4
Storage Data: 3X 1.92 TB SSD RAID 0
OS: 1X 1.92 TB SSD
Network Dual 10GBASE-T (RJ45)
Display 3X DisplayPort, 4K resolution
Additional Ports 2x eSATA, 2x USB 3.1, 4x USB 3.0
Acoustics 35 dB
System Weight 88 lbs / 40 kg
System Dimensions 518 D x 256 W x 639 H (mm)
Maximum Power Requirements 1,500 W
Operating Temperature Range 10–30 °C
Software Ubuntu Desktop Linux OS, Red Hat Enterprise Linux OS, DGX Recommended GPU Driver, CUDA Toolkit

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This integrated hardware and software solution allows your data science team to easily access a comprehensive catalog of NVIDIA optimized GPU-accelerated containers that offer the fastest possible performance for AI and data science workloads- provides access to fully optimized DGX Software Stack.

nvidia dgx software


Inspired by the demands of AI and data science, NVIDIA® DGX-1™ fast-tracks your AI initiative with a solution that works right out-of-the-box so that you can gain insights in hours instead of months. With DGX-1 you can simply plug in, power up, and get to work- with integrated NVIDIA deep learning software stack.

DGX-1 removes the burden of continually optimizing your deep learning software and delivers a ready-to-use, optimized software stack that can save you hundreds of thousands of dollars.

dgx 1


GPUs 8X NVIDIA Tesla V100
Performance (Mixed Precicion) 1 petaFLOPS
GPU Memory 256 GB total system
CPU Dual 20-Core Intel Xeon E5-2698 V4 2.2 GHz
NVIDIA CUDA® Cores 40,960
NVIDIA Tensor Cores (on Tesla V100 based systems) 5,120
Power Requirement 3,500 W
System Memory 512 MB 2,133 MHz DDR4 RDIMM
Storage Data: 4X 1.92 TB SSD RAID 0
Operating System: Canonical Ubuntu, Red Hat Enterprise Linux
System Weight 134 lbs
System Dimensions 866 D * 444 w * 131 H (mm)
Packaging Dimensions 1,180 D * 730 W * 284 H (mm)
Operating Temperature Range 5-35 °C


NVIDIA® DGX-2™ is the world’s first 2 petaflops system, packing the power of 16 of the world’s most advanced GPUs and accelerating the newest deep learning model types that were previously untrainable. With ground-breaking GPU scale, you can train models 4X bigger on a single node.With DGX-2,model complexity and size are no longer constrained by the limits of traditional architectures. Embrace model-parallel training with a networking fabric that delivers 2.4TB/s of bisection bandwidth for a 24X increase over prior generations. This new interconnect “superhighway” enables limitless possibilities for model types that can reap the power of distributed training across 16 GPUs at once.

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GPUs 16X NVIDIA® Tesla® V100
GPU Memory 2 petaFLOPS
NVIDIA CUDA® Cores 81920
NVIDIA Tensor Cores 10240
NVSwitches 12
Maximum Power Usage 10kW
CPU Dual Intel Xeon Platinum 8168, 2.7 GHz, 24-cores
System Memory 1.5TB
Network 8X 100Gb/sec, Infiniband/100GigE, Dual 10/25/40/50/100GbE
Storage OS: 2X 960GB NVME SSDs
Internal Storage: 30TB (8X 3.84TB) NVME SSDs
Software Ubuntu Linux OS, Red Hat Enterprise Linux OS (See software stack for details)
System Weight 360 lbs (163.29 kgs)
Packaged System Weight 400lbs (181.44kgs)
System Dimensions Height: 17.3 in (440.0 mm), Width: 19.0 in (482.3 mm), Length: 31.3 in (795.4 mm) - No Front Bezel 32.8 in (834.0 mm) - With Front Bezel
Operating Temperature Range 5°C to 35°C (41°F to 95°F)
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