NVIDIA workstation GPU for data science teams
NVIDIA DGX deep learning PC supports accelerated analytics, deep learning training, and inferencing, all within a single versatile platform, that packs the computing capacity 400 CPU’s into a desk-friendly package that consumes less than 1/20th the power. It’s the only personal AI supercomputer that integrates four Volta powered V100 GPUs, with innovations including NVIDIA NVLink and Tensor Core architecture.
Special discount for education and AI startups*
Groundbreaking AI in your office
- 4X NVIDIA V100 32 GB GPUs
- 500 TFLOPS (Mixed Precision)
- 20,480 Total NVIDIA CUDA® Cores
- 2,560 Tensor Cores
2. SYSTEM MEMORY
- 256 GB RDIMM DDR4
3. GPU INTERCONNECT
- NVIDIA NVLink™, Fully Connected 4-Way
- Data: 3 x 1.92 TB SSD RAID 0
- OS: 1 x 1.92 TB SSD
- Intel Xeon E5-2698 v4
- 2.2 GHz 20-Core
- DUAL 10 GBASE-T LAN (RJ45)
- 3X DisplayPort,
- 4K Resolution
- 1500 W
Integrated software stack for enhanced performance
Linear Scalable Performance
NVIDIA DGX Station with 4x V100 32 GB. ResNet-50 V1.5 Training, Volta with Tensor Cores (mixed precision), 20.3_py3 optimized containers from NGC.
Score: Images per second
Translation and Speech Performance
NVIDIA DGX Station with 4x V100 32 GB. Volta with Tensor Cores (mixed precision). PyTorch 20.03_py3 optimized containers from NGC.
Score: Total Tokens per Second (GNMT v2), Output Samples per Second (waveGlow)
DGX Station: DL Optimizations
NVIDIA DGX Station with 4x V100 32 GB. ResNet-50 Training, Volta with Tensor Cores (mixed precision), 17.09, 18.09py3, 18.11py3 DGX optimized containers from NGC.
Score: Images per Second
Fully Integrated Software for Instant Productivity
NVIDIA DGX Station software stack
Instant productivity with NVIDIA optimized deep learning frameworks, pre-trained models, and scripts: Pytorch, TensorFlow, MXNet, and many others
Performance optimized across the entire stack
Faster Time-to-Insight with pre-built, tested, and ready to run framework containers
Flexibility to use different versions of libraries like libc, cuDNN, CYDA, python in each framework container
Unparalleled deep learning training performance
Delivers 47X faster training
DGX Station performance projected based on DGX (with V100) Workload: ResNet50, 90 epochs to solution | CPU Server: Dual Xeon E5-2699 v4, 2.6 GHz. Projections subject to chance.
Get started within 1 hour with NVIDIA DGX Station
Deploy quickly and simply
Plug-and-play setup that takes teams from power-on to data science and AI research
NVIDIA GPU cloud and support
Access to NVIDIA’s vast deep learning knowledge, expertise, and the latest software updates
NVIDIA DGX Station™ Whitepaper
NVIDIA DGX Station gives computational scientists, data scientists and AI researchers the fastest start in deep learning, HPC, and data science from the convenience of their desks. Understand how the DGX Station will allow you to experiment at your desk and extend same deep learning software across DGX systems and the cloud.
“I don’t have to have our IT team go and develop an environment and add all of these different things that have different dependencies. With DGX, all of those dependencies are already ironed out for us.”
Deploying an AI platform can be complex and time-consuming, including the effort required to build a platform and engineer a software stack that’s optimized for maximum performance. Together with NVIDIA, AMAX AI provides the total solutions that enables you to get results faster.
*Education & AI startup discount is subject to approval, please call for more details.