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MARCH 2019: ACCELERATE DATA ANALYTICS AND MACHINE LEARNING WITH RAPIDS

YOU ARE INVITED TO ATTEND OUR WORKSHOP ORGANIZED IN COLLABORATION WITH NVIDIA & TECH DATA!:

FEBRUARY 2019: DGX-1 SYSTEM MONITORING

Watching over the health of your DGX System!


Video 1: DGX-1 System Monitoring Overview

OCTOBER 2018: HPC, CLOUD AND INTO SPACE WITH NTU-EOS

Microsoft AzureOver the past few months, NovaGlobal has the good fortune in working closely with NTU - Earth Observatory of Singapore (EOS) and NASA Jet Propulsion Laboratory (NASA JPL) Team to migrate the Hybrid Cloud Science Data System (HySDS) Framework from Amazon AWS to Azure Cloud Platform.

DECEMBER 2017: A BREAKTHROUGH YEAR

2017 is a breakthrough year for NovaGlobal. The company had installed multiple units of NVIDIA DGX1 Systems and DGX DL Workstations successfully. Our exploit include delivering NVIDIA Deep Learning systems to major commercial players in the private sector, a major shift from its historical educational markets.

NovaGlobal continues to maintained a major lead in the HPC market. It commissioned some of the largest HPC Clusters, and installed the most number of computing nodes for Huawei, a new entrant to local HPC market in the current year.

JANUARY 2017: TURNKEY DEEP LEARNING SOLUTION WITH SUPERMICRO SYS-1028GQ-TXR(T) + NVIDIA Tesla P100 SXM2 WITH NVLINK

The Supermicro SYS-1028GQ-TXR(T) 1U server supports four Tesla P100 SXM2 accelerators and can handle workloads with up to 85 TFLOPS FP16 of peak performance. It supports the dual Intel Xeon processor E5-2600 v4/v3 product families; 512GB DDR4-2400MHz in 16 DIMM; optional dual on-board 10GBase-T ports; and redundant Titanium-level digital power supplies. This result is a dense and compact server capable of generating massively parallel processing power and unrivalled GPU peering via 80GB/s NVLINK for Machine Learning applications.

NovaGlobal provides a turnkey Deep Learning Solution by integrating the server with Open Source and free software including:

  • Ubuntu OS, GPU Driver, CUDA Toolkit 8.0 & CUDNN Library
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