Deep Learning Environment

16 December 2019

The deep learning environment consists of two GPU computers and a NVIDIA Jetson TX2 board. The above image shows a 2x NVIDIA GeForce GTX 1080 Ti 11Gb GDDR5x based workstation, with an Intel i5-8600K CPU 3.6Ghz x6 64bits, 64Gb RAM Memory DDR4-2666Mhz, a SDD 250Gb and a HDD 1Tb.

Finally, the above image shows the NVIDIA Jetson TX2 development kit board that features an integrated 256-core NVIDIA Pascal GPU, a hex-core ARMv8 64-bit CPU complex, and 8GB of LPDDR4 memory with a 128-bit interface. The Jetson CPU combines a dual-core NVIDIA Denver 2 alongside a quad-core ARM Cortex-A57. All machines included in the Deep Learning environment are currently being used to training a neural network in order to obtain a fish classifier under the Symbiosis project.