25 Oct

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

Over 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. This exercise is to provide another dependable alternative computing resources to support the Advanced Rapid Imaging and Analysis (ARIA) Project.

ARIA Project focus on Natural Hazards to bring geodetic imaging and analysis capabilities to an operational level in support of local, national, and international hazard response communities.

Interferogram is one of the products that can be generated through the HySDS system. By monitoring satellite data acquired over a specified region, the system can automatically generate interferograms comparing displacement on two or more dates. These automatic products are formed from a pre-determined set of rules that define imaging parameters such as range and azimuth looks, temporal baseline, and pairing direction.

We are successful in our mission! Please enjoy the beautiful images of our beloved Singapore from space.

Date of images: circa August 2018

The different colors in an interferogram show changes in the phase of radar waves before and after a seismic event e.g. an earthquake. The colored contours represent the interference fringes between the two sets of data.

The HySDS system is, in fact, a High Performance Computing Cluster (HPCC) implementation in the Cloud. HySDS can use a heterogeneous set of worker nodes from private & public Clouds as well as virtual & bare-metal machines to perform every aspect of the traditional science data system.

References:
“Hybrid Cloud Science Data System Framework”. NASA JPL. Retrieved 25 October 2018.
“How InSAR Works”. Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics. Retrieved 25 October 2018.

20 Dec

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.

03 Jan

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
  • NVIDIA DIGITS, Caffe, Torch, Theano, TensorFlow & BIDMACH
  • Docker engine and containers for Deep Learning Frameworks
25 Nov

NOVEMBER 2016: DEEP LEARNING ON FAST TRACK

NVIDIA® DGX-1™ is the world’s first purpose-built system for deep learning and AI accelerated analytics, delivering performance equal to 250 conventional servers. It is the World’s First AI Supercomputer in a Box. NovaGlobal has the honour of delivering the first DGX-1 system for commercial deployment in the region. Its customer is a leading global information, data and measurement company with regional operation in Singapore.