Cisco shoves more GPUs in AI server for deep learning, still doesn't play Crysis

Cisco has beefed up its C480 AI/machine learning sever, adding a faster GPU interconnect and more GPU slots while losing two CPU sockets. It was revealed in June 2017. Since then NetApp and Pure have introduced all-flash storage systems with more GPUs inside NVidia's DGX-1 GPU server system, interconnected by NVlink. Pure's can have four DGX-1s. Cisco has announced an updated C480 ML M5 – "ML" of course standing for machine learning – with 2 x Xeon SP CPUs, up to 3TB of memory, 8 x Nvidia Tesla V100-32G, up to 24 x SAS/SATA HDD/SSD (to 182TB), plus 6 x NVMe drives, and up to 4 x x100G VIC (Virtual Interface Card), and NVlink.