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As you may see in the chart above, the mixture of the iron and the tweaked software allows the coaching times on the Witherspoon system to be compressed by a factor of 3.7X on the Chainer image recognition framework from Preferred Networks and by an element of 3.8X on the Caffe image recognition framework created by Facebook. This Large Model Support is just out there on IBM’s own PowerAI software stack, and is really only useful on servers equipped with NVLink ports on the CPUs. The V100s are all cross connected in a 2D hybrid cube mesh to one another utilizing NVLink 2.Zero ports, however the GPU complex is linked to the Xeon CPUs by means of a pair of PCI-Express 3.0 switches and the PCI-Express 3.0 controllers on the Xeon dies. As we now have discussed previously, IBM’s new “Witherspoon” AC922 hybrid system, which was launched just lately and which begins delivery subsequent week, is designed from the bottom up to have heavy Power9 serial compute and far heavier parallel Nvidia GPU compute, all coupled with NVLink interconnects and cache coherency throughout their respective memory, with very quick PCI-Express 4.0 CAPI and even sooner Bluelink OpenCAPI ports to hyperlink to FPGAs and reminiscence class storage, with high memory bandwidth on the CPUs and GPUs to keep their hungry processor threads fed with data and instructions.