Data scientists and artificial intelligence (AI) researchers require accuracy, simplicity, and speed for deep learning success. Faster training and iteration ultimately means faster innovation and faster time to market. Building a platform for deep learning goes well beyond selecting a server and GPUs. A commitment to implementing AI in your business involves carefully selecting and integrating complex software with hardware. NVIDIA® DGX-1™ fast-tracks your initiative with a solution that works right out of the box, so you can gain insights in hours instead of weeks or months.
Today’s deep learning environments can cost hundreds of thousands of dollars in software engineering hours, and months of delays for the open source software to stabilize. With NVIDIA DGX-1 you’re immediately productive, with simplified workflows and collaboration across your team. Save time and money with a solution that’s up-to-date with the latest NVIDIA optimized software.
While many solutions offer GPU-accelerated performance, only NVIDIA DGX-1 unlocks the full potential of the latest NVIDIA® Tesla® V100, including next generation NVIDIA NVLink™, and new Tensor Core architecture. DGX-1 delivers 3X faster training speed than other GPU-based systems by using the NVIDIA GPU Cloud Deep Learning Stack with optimized versions of today’s most popular frameworks.
High-performance training accelerates your productivity, which means faster time to insight and faster time to market.
|GPUs||8x Tesla V100|
|Performance (FP16)||1 petaFLOPS|
|GPU Memory||128 GB total system|
|CPU||Dual 20-core Intel® Xeon® E5-2698 v4 2.2 GHz|
|NVIDIA CUDA® Cores||40,960|
|NVIDIA Tensor Cores||5,120|
|Maximum Power Requirements||3200W|
|System Memory||512 GB 2133 MHz DDR4 LRDIMM|
|Storage||4x 1.92 TB SSD RAID 0|
|Network Dual||10 GbE, 4 IB EDR|
|Software||Ubuntu Server Linux OS DGX-1 Recommended Drivers|
|System Weight||60.8 kg / 134 lbs|
|System Dimensions 8||66 D x 444 W x 131 H (mm)|
|Form Factor||3U Rackmount|
|Operating Temperature Range||10 - 35°C|