A customer who uses workstations for machine learning applications contacted us with a question about their workstation configuration for this year.
Last year, the system was installed with four RTX 4090 cards, and the customer was satisfied with the processing performance, so this year they are considering installing four cards of the same or successor model.
I would like to be given an estimate on the recommended GPU to replace the RTX 4090, as well as an estimate on the budget for the configuration.
| CPU | Intel Xeon W9-3575X 2.20GHz (up to 3.0GHz at TB4.8) 44C/88T |
| memory | Total 512GB DDR5 5600 REG ECC 64GB x 8 |
| Storage 1 | 1TB SSD S-ATA |
| Video | NVIDIA RTX PRO 6000 Max-Q 96GB |
| network | on board (1GbE x1 /10GbE x1) |
| Housing + power supply | Tower type chassis + 2800W TITANIUM |
| OS | OSなし |
| Miscellaneous | 15A 200V Power Cable C19 – C14 |
About GPU
The RTX 4090 you requested is currently out of production and distribution as of October 2025, making it difficult to obtain.
Therefore, as a successor model and upward compatibleNVIDIA RTX PRO 6000 Max-Q (VRAM 96GB) We proposed the following.
The extremely large VRAM capacity enables high performance even in high-load processes such as large-scale machine learning.
Number of GPUs and power supply configuration
This time, only one RTX PRO 6000 Max-Q is installed, but in the future, we are looking forward to adding more GPUs.4 totalExpandable chassis and power supplyIs adopted.
For power supplies200V dedicated 2800W power supplyBecause it uses multiple GPUs, it can operate with ease.
*The installed power supply is200V dedicated moduleFor home use100V outletThen.Not available.
Please check in advance whether the equipment you plan to install is compatible with 200V.
System memory closely related to VRAM
To achieve smooth calculations that take advantage of large amounts of VRAM, high performance system memory (RAM) is also required.
This time, the system memory is 512GB.
Optimizing the balance between VRAM and RAM prevents swapping and keeps your computing speed and stability.
For those who are active in these fields
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Tegara's custom-made PC production service not only caters to initial use, but also supports system expansion in anticipation of future expansion of research scale.
We not only propose configurations that meet various software requirements, but also accept consultations regarding the construction of an entire research environment.
Please feel free to contact us and we will provide the best solution to suit your needs.
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