The customer asked us to consider purchasing a workstation for the purpose of learning neural networks for image synthesis.
We have proposed the GPU with the configuration of TITAN V according to the customer's request. In addition, we received requests for installation of various necessary frameworks, and considering the compatibility status of those frameworks with CUDA10, we have selected 16.04 as the version of Ubuntu. Since this configuration has 2CPU + 4GPU, it consumes a lot of power and is assumed to be used in a 200V environment. Please be careful.
【Main Specifications】
| CPU | Xeon Gold 5120 (2.20GHz 14 cores) x 2 (total 28 cores) |
| memory | 192GB ECC REG |
| storage | System: SSD 4TB (S-ATA) + Data: HDD 4TB (S-ATA) |
| network | 10GBase-T x 2 |
| video | NVIDIA TITAN V 12GB x 4 + NVIDIA Quadro P400 (for screen output) |
| Housing + power supply | 4U tower enclosure (width 178 x height 462 x depth 673 mm) + 2200W Redundant power supply * Up to 100W when using at 1200V |
| OS | Ubuntu LTS 16.04 |
| Others | 250V / 12A optional power cable x 2, GPU kit, NVIDIA CUDA Toolkit, framework installation "Safety +" 3-year warranty |
In this proposal, a 3-year extended warranty (anshin +) is applied at the request of the customer. Please consider that we can extend the warranty for GeForce systems up to 3 years.
| ■ Click here for details and inquiries about this PC case Example of WS for image synthesis AI learning with 2 CPU and 4 GPU configuration (budget 400 million) |
