The NVIDIA DGX-1 deep learning system comprises a combination of hardware and software that delivers faster and more accurate training of neural networks. Purpose built for deep learning and AI analytics, the DGX-1 delivers performance equivalent to 250 conventional CPU-only servers.
The DGX-1 is powered by eight NVIDIA Tesla P100 GPU accelerators, each with 3584 CUDA cores and 16GB of RAM. Unlike conventional GPU servers which use the PCI-E bus for communication between the host system and Tesla cards the DGX-1 uses NVLink, which is 5 to 12 times faster than PCI-E.
NVLink unlocks the full performance of the eight Tesla P100 cards, so the DGX-1 delivers up to 170 teraFLOPs at half-precision (FP16), the most common format used in deep learning calculations. This is a dramatic speed up compared to deep learning on CPUs, saving you significant time and money.
Time to train 1.28M images using Caffe with 90 epochs
Half-precision (FP16) performance
The DGX-1 is much more than a GPU server, it is a deep learning solution comprising a finely tuned combination of hardware and software. Running a GPU-optimised version of Ubuntu Server Linux, the software stack comprises drivers, the NVDocker container tool, deep learning SDK, NVIDIA Cloud Management Service plus NVIDIA DIGITS which is used to run deep learning frameworks such as Caffe, Torch, TensorFlow and many more.
The Operating System (Ubuntu Server Linux) is optimised to take advantage of the hardware and software features of the system and CUDA 8, especially with respect to memory management and hardware communications.
The deep learning frameworks provided with the system are especially optimised to take advantage of the NVlink communication links among other enhancements, in order to optimize multi-GPU communication in the system.
Deep Learning Frameworks
Deep Learning User SortwareNVIDIA DIGITS
ManagementNVIDIA Cloud Management Service
Deep Learning LibrariesNVIDIA cuDNN and NCCL
GPU DriverNVIDIA GPU Compute Driver Software
SystemGPU-Optimized Linux Server OS
|GPUs||8x NVIDIA Tesla P100|
|GPU RAM||16GB next-gen HBM2 memory per GPU|
|CPUs||2x Intel Xeon E5 2698 v4|
|CPU Cores||40 physical, 80 HyperThreading|
|System RAM||512GB ECC Registered DDR4 2133MHz|
|Storage||1x 480GB Intel S3610 SSD for OS, 4x 1.92TB SSDs in RAID 0 for data|
|Network||2x Intel 10 Gigabit LAN, 4x Mellanox MCX455A-ECAT Infiniband EDR, 1x GigaBit management LAN|
|Operating System||Ubuntu Linux Server|
|Power Supply||Redundant 3200W|
|Form Factor||3U rackmount|
|Dimensions||444 x 866 x 131mm (W x D x H)|
|Operating Ambient Temperature||10 – 30°C|
The DGX-1 is provided with comprehensive support which includes access to NVIDIA’s Cloud Management Service which enables remote access to the system. Support facilities include:
Direct access to NVIDIA technical engineers
24/7 phone support
Software upgrades and updates
Hardware support, including firmware upgrades, remote and onsite support
Next-day shipment of replacement parts
Online knowledge base
Scan 3XS offers a range of reliable, high performance server solutions, fully customisable to your needs.