The Personal Supercomputer for Leading-Edge AI Development
Your data science team depends on computing performance to gain insights, and innovate faster through the power of deep learning and data analytics. Until now, AI supercomputing was confined to the data center, limiting the experimentation needed to develop and test deep neural networks prior to training at scale.
Now there’s a solution, offering the power to experiment with deep learning while bringing AI supercomputing performance within arm’s reach.
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.
Get Started in Deep Learning, Faster
DGX Station breaks through the limitations of building your own deep learning
platform. You could spend a month or longer, procuring, integrating, and testing
hardware and software. Then additional expertise and effort are needed to optimize frameworks, libraries, and drivers. That’s valuable time and money spent on systems integration and software engineering that could be spent training and experimenting.
NVIDIA DGX Station is designed to kickstart your AI initiative, with a streamlined
plug-in and power-up experience that can have you training deep neural networks in just one day.
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, 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 NVIDIA Deep Learning SDK (e.g. cuDNN, cuBLAS), CUDA®
toolkit, fast multi-GPU collectives NCCL, 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 effortlessly
migrated to a DGX-1 or the cloud, without modification.