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.

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