NVIDIA DGX Station is the fastest AI supercomputer designed for use at your desk. Whisper quiet at one tenth the noise of other deep learning workstations, it’s designed for easy experimentation at the office. Meticulously crafted, DGX Station is the perfect addition to your lab, office, or workspace.
Your real work is innovation and discovery; with DGX Station you can save up to a month in setup time alone. Just plug it in and power it up, for a deployment that’s simple and intuitive. This integrated hardware and software solution lets you spend more time focused on insight, instead of piecing together components.
Spend less time and money on IT, and more time on data science. DGX Station can save you hundreds of thousands of dollars in engineering hours and lost productivity, waiting for stable versions of open source frameworks. Enjoy productive experimentation at your desk now, and then scale your work in the data center on NVIDIA DGX-1™, or in the cloud—all powered by the NVIDIA GPU Cloud Deep Learning Stack and container technology.
DGX Station has the computing capacity of four server racks in a desk-friendly package, using less than one twentieth the power. It’s the only personal supercomputer with four NVIDIA® Tesla® V100 GPUs, next generation NVIDIA NVLink™, and new Tensor Core architecture. DGX Station delivers 3X the training performance of today’s fastest workstations, with 480 TFLOPS of water cooled performance and FP16 precision.
|GPUs||4x Tesla V100|
|TFLOPS (GPU FP16)||480|
|GPU Memory||64 GB total system|
|NVIDIA CUDA® Cores||20,480|
|NVIDIA Tensor Cores||2,560|
|CPU||20-core Intel® Xeon® E5-2698 v4 2.2 GHz|
|System Memory||256 GB LRDIMM DDR4|
|Storage||Data: 3X 1.92 TB SSD RAID 0
OS: 1X 1.92 TB SSD
|Network||Dual 10 Gb LAN|
|Display||3X DisplayPort, 4K resolution|
|Acoustics||< 35 dB|
|System Weight||40 kg / 88 lbs
|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
DGX Recommended Drivers
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