The IBM Power System LC922 server is engineered to meet AI data and workload requirements. It has a storage-rich design that delivers industry-leading compute to analyze and explore data, along with the vast storage capacity to contain it.
Elinar saw the disruptive potential of AI for its enterprise content management solutions and deployed IBM Power infrastructure to become an early adopter, slashing time-to-market and winning new clients.
¹ Results are based IBM Internal Measurements running 1000 iterations of Enlarged GoogleNet model (mini-batch size=5) on Enlarged Imagenet Dataset (2240x2240) . Power AC922; 40 cores (2 x 20c chips), POWER9 with NVLink 2.0; 2.25 GHz, 1024 GB memory, 4xTesla V100 GPU ; Red Hat Enterprise Linux 7.4 for Power Little Endian (POWER9) with CUDA 9.1/ CUDNN 7;. Competitive stack: 2x Xeon E5-2640 v4; 20 cores (2 x 10c chips) / 40 threads; Intel Xeon E5-2640 v4; 2.4 GHz; 1024 GB memory, 4xTesla V100 GPU, Ubuntu 16.04. with CUDA .9.0/ CUDNN 7. Software: IBM Caffe with LMS Source code https://github.com/ibmsoe/caffe/tree/master-lms(link resides outside ibm.com)