Oded Green is a Senior Graph Software Engineer at NVIDIA.
In this video, Oded Green from NVIDIA unboxes a DGX-1 supercomputer at the College of Computing Data Center at Georgia Tech.
The NVIDIA DGX-1 supercomputer is a GPU-based platform designed to facilitate faster and more efficient big data sequencing, machine learning, and deep learning processes.
There aren’t many computers or servers significant enough to be recognizable by model name. But, a DGX-1 is well-known throughout the computing community, particularly by the artificial intelligence and machine learning crowd,” said School of Computational Science and Engineering (CSE) Research Technologist Will Powell.
The DGX-1 is powered by 8 NVIDIA TESLA V100 GPUs, has over 40,000 CUDA Cores, 5,000 Tensor cores, and 1,000 TFLOPS built specially for deep learning.
And while the DGX-1 arriving at Georgia Tech for student-use is exciting enough, there is cause for more celebration as a DGX Station also arrived this year as part of a new NVIDIA Artificial Intelligence Lab (NVAIL) grant awarded to CSE. The NVAIL grant focuses on developing multi-GPU graph analytics and the DGX station is constructed specifically for data science and artificial intelligence development. The station will be used for graduate students and researchers associated with the NVAIL.
DGX Station is the only workstation with four NVIDIA Tesla V100 Tensor Core GPUs, integrated with a fully-connected four-way NVLink architecture, delivering 500 teraFLOPS of AI power, equivalent to hundreds of servers, enabling your entire team to experiment faster, iterate frequently, with effortless productivity.
Source: Georgia Tech
