#Cloud station server upgrade#

The DGX station is water-cooled to better manage the heat of almost 1500W of total system components, this allows it to keep a noise range under 35 dB under load. Four Volta-based Tesla V100 accelerators, each with 16 GB of HBM2 memory.The DGX station was first available with the following specifications. ĭesigned as a turnkey deskside AI supercomputer, the DGX Station is a tower computer that can function completely independently without typical datacenter infrastructure such as cooling, redundant power, or 19 inch racks. The Volta based DGX-1 is equipped with an E5-2698 V4 and was priced at launch at $149,000.Pricing for the variant equipped with an E5-2698 V4 is unavailable, the Pascal based DGX-1 with an E5-2698 V3 was priced at launch at $129,000

The Pascal based DGX-1 has two variants, one with a 16 core Intel Xeon E5-2698 V3, and one with a 20 core E5-2698 V4.

#Cloud station server upgrade#

Nvidia offered upgrade kits that allowed users with a Pascal based DGX-1 to upgrade to a Volta based DGX-1. The later revision of the DGX-1 offered support for first generation Volta cards via the SXM-2 socket. The DGX-1 was first available only with the Pascal based configuration, with the first generation SXM socket. The initial Pascal based DGX-1 delivered 170 teraflops of half precision processing, while the Volta-based upgrade increased this to 960 teraflops.

The product line is intended to bridge the gap between GPUs and AI accelerators in that the device has specific features specializing it for deep learning workloads. 3200W of combined power supply capability.All models are based on a dual socket configuration of Intel Xeon E5 CPUs, and are equipped with the following features. The DGX-1 was announced on the 6th of April in 2016. Models Pascal - Volta DGX-1 ĭGX-1 servers feature 8 GPUs based on the Pascal or Volta daughter cards with 128GB of total HBM2 memory, connected by an NVLink mesh network. The GPU modules are typically integrated into the system using a version of the SXM socket or by a PCIe x16 slot. DGX systems have large heatsinks and powerful fans to adequately cool thousands of watts of thermal output. The main component of a DGX system is a set of 4 to 16 Nvidia Tesla GPU modules on an independent system board. The typical design of a DGX system is based upon a rackmount chassis with motherboard that carries high performance x86 server CPUs (Typically Intel Xeons, with the exception DGX A100 and DGX Station A100, which both utilize AMD EPYC CPUs). Nvidia DGX is a line of Nvidia-produced servers and workstations which specialize in using GPGPU to accelerate deep learning applications. Line of Nvidia produced servers and workstations A rack containing five DGX-1 supercomputers