■ This is an article posted on June 2019, 5, so the content of the information may be out of date.
A customer considering the introduction of a system with a deep learning algorithm as a core wants to add redundancy and extension guarantee by RAID to both the system area and data storage area on a desktop type workstation with three NVIDIA RTX 2080 equivalent workstations. We had a consultation.
Since there is a request for redundancy by RAID and a data area of 20 TB or more, the system part adopts RAID 1 SSD, the data area adopts RAID 5 with cost performance priority and large capacity (10 TB) SATA HDD You have selected. We have 2080 NVIDIA RTX 3Ti, but we have extended the warranty up to 3 years for Geforce system with "Anshin +" added.
【Main Specifications】
| CPU | Xeon Silver 4216 (2.10GHz 16 cores) x 2 (total 32 cores) |
| memory | 96GB ECC REG |
| storage | System: SSD 240GB x 2 (RAID 1) Data: HDD 10TB x 4 (RAID 5) About 30TB * Hardware RAID card |
| video | NVIDIA Geforce RTX 2080Ti 11GB x 3 |
| network | 10GBase-Tx2 |
| Housing + power supply | Tower enclosure (width 178 x height 462 x depth 673 mm) + 2200W redundant power supply x 2 * Up to 100W when using at 1200V |
| OS | Ubuntu LTS 18.04 |
| ■ Click here for details and inquiries about this PC case Deep learning WS with 3GPU + large capacity storage (budget 200 million) |
