Nvidia DGX
deep learning supercomputer system
The Nvidia DGX (Deep GPU Xceleration) is a series of servers and workstations designed by Nvidia, primarily geared towards enhancing deep learning applications through the use of general-purpose computing on graphics processing units (GPGPU). These systems typically come in a rackmount format, initially using high-performance x86 server CPUs, switching to ARMs around 2018, and releasing NUCs in 2025.
The core feature of a DGX system is its inclusion of 4 to 8 Nvidia Tesla GPU modules, which are housed on an independent system board. These GPUs can be connected either via a version of the SXM socket or a PCIe x16 slot, facilitating flexible integration within the system architecture. To manage the substantial thermal output, DGX units are equipped with heatsinks and fans designed to maintain optimal operating temperatures.
Nvidia GPGPUs are featured in TOP500 supercomputers.
Models
Pascal - Volta
DGX-1
DGX-1 servers feature 8 GPUs based on the Pascal or Volta daughter cards with 128 GB of total HBM2 memory, connected by an NVLink mesh network. The DGX-1 was announced on 6 April 2016. All models are based on a dual socket configuration of Intel Xeon E5 CPUs, and are equipped with the following features.
512 GB of DDR4-2133
Dual 10 Gb networking
4 x 1.92 TB SSDs
3200W of combined power supply capability
3U Rackmount Chassis
The product line is intended to bridge the gap between GPUs and AI accelerators using specific features for deep learning workloads.
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