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NVIDIA

NVIDIA

DGX-1 Essential Instrument for AI research More »

 

Nvidia DGX-1

 

NVIDIA DGX-1
 
The Challenges of Building a Platform for AI
Data scientists depend on computing performance to gain insights and innovate
faster, using the power of deep learning and analytics. GPU technology offers a
faster path to AI, but building a platform goes well beyond deploying a server and
GPU’s.
 
AI and deep learning can require a substantial commitment in software
engineering. An investment that could delay your project by months as you
integrate a complex stack of components and software including frameworks,
libraries, and drivers. Once deployed, additional time and resources are
continually needed as you wait for the ever-evolving open source software
to stabilize. You’ll also be waiting to optimize your infrastructure for
performance, along with administrative costs that increase as the system scales.
 
The Fastest Path to Deep Learning
Inspired by the demands of AI and data science, NVIDIA
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, thanks to the integrated NVIDIA deep
learning software stack and DGX-1 cloud management services. Now you can
start deep learning training in as little as a day, instead of spending months
integrating, confguring, and troubleshooting hardware and software.
 
Effortless Productivity
NVIDIA 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. It includes access to today’s most popular
deep learning frameworks, NVIDIA DIGITS deep learning training application,
third-party accelerated solutions, the NVIDIA Deep Learning SDK (e.g. cuDNN,
cuBLAS, NCCL), CUDA toolkit, NVIDIA Docker and NVIDIA drivers.