Machine learning and large-scale language model (LLM) processing machine

A customer involved in research into industrial electrical equipment enquired about a machine that could perform image recognition using machine learning and natural language processing using large-scale language models.
The specifications expected by the customer are as follows.

OS: Ubuntu
Memory: 256GB or more
Storage: SSD 1TB or more, HDD 4TB or more
GPU: NVIDIA RTX 6000 Ada generation / 48GB or more

Based on the information you provided, we proposed the following structure:

CPU Intel Xeon W7-2575X 3.00GHz (up to 3.0GHz at TB4.8) 22C/44T
memory Total 512GB DDR5 5600 REG ECC 64GB x 8
Storage 1 2TB SSD S-ATA
Storage 2 8TB HDD S-ATA
Video NVIDIA RTX 6000 Ada 48GB (DisplayPort x 4)
network on board (2.5GbE x 1 /10GbE x 1)
Housing + power supply Mid-tower chassis 1500W 80PLUS PLATINUM
OS Ubuntu 24.04

We have considered the configuration based on your request.
In addition, since there was a margin in the budget for the conditions presented,SSD and HDD capacity doubled for better operation (SSD 1TB → 2TB, HDD 4TB → 8TB).

This configuration is:No future expansion is anticipatedThere is only one GPU.
Therefore, in a home or office environment,100V power supply" can be used.
If you are considering adding GPUs after installation, we will provide you with individual guidance on the appropriate power supply unit and operating environment.

We also have examples of systems equipped with two of the same model number "NVIDIA RTX 6000 Ada 48GB" GPUs, so please refer to the following page.

Reference: AI development machine equipped with two RTX 6000Ada cards

If the power consumption of the entire configuration increases due to the addition of GPUs or the installation of multiple GPUs,Requires use in a 200V power environmentThere may be cases where this happens.

As a guideline for total power consumption, if you use a 1600W power supply unit, the maximum output will be1600w, in a 100V environment, approximately1200wWe can accommodate up to 200,000 yen.

We will propose a flexible machine that meets your needs. Please feel free to contact us even if your requirements are different from those listed.

 

Feel free to request a quote based on your usage and budget - Tegsys' simple inquiry form