[Recommended information for July]
RADIC Deep Learning model has been added to the high-performance workstation "RADIC series"!
High-performance workstation series for researchers and developers who demand the highest performance in science and technology applications such as calculation, experiments, and analysis.RADICA new model for deep learning has been added to.
[Points of Deep Learning model]
- In the middle tower caseCan be equipped with up to 3 GPUsYou can select the type and number of GPUs according to your budget and usage.
- As a usage environment of CUDA of NVIDIA, which is a typical usage environmentInstalling CUDA Toolkit
- Up to 512GB memory (64GB x 8) can be installed
- CPU is 4 to 18 core XeonYou can choose
RADIC Deep Learning model – Intel Xeon W Processor Series
Workstation for deep learning that can be equipped with up to 3 GPUs.
Installed and delivered CUDA Toolkit.
Standard specifications: 1,002,000 Yen (Tax not included)
| CPU | Intel Xeon Processor W-2135 3.70GHz 6 cores (Turbo Boost 4.50GHz) |
| memory | 128GB DDR4 2666 REG ECC (32GB x 4) |
| storage | SSD: SSD 250GB S-ATA (for OS and applications) HDD: HDD 1TB S-ATA (for data storage) |
| RAID | HighPoint SSD7100 NVMe M.2 RAID controller |
| network | GigabitLAN x2 |
| GPU | NVIDIA Geforce GTX1080Ti 11GB x 3 |
| Housing + power supply | Middle tower type (width 232 x height 451 x depth 521 mm) / 1500 W power supply installed |
| OS | Ubuntu 16.04 pre-installed |
| I / F | External I / F: USB3.0 x4 USB2.0 x4 USB3.1 x2 Internal I / F: PCI-E (x16 slot) x3 / PCI-E (x4 slot) x1 / S-ATA (6) / M.2 x2 |
| Others | NVIDIA CUDA Toolkit installed |
For RADIC series workstations, you can simulate the approximate amount of money when changing the configuration of the main specifications on the web, or you can contact us directly from the form.
Click here for details ↓
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