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Home > R & D PC configuration example (Tegsys) > AI development machine with 6000x RTX2Ada

AI development machine with 6000x RTX2Ada

2023/8/9 TEGARA Co., Ltd. Research workstation, Artificial intelligence, R & D PC configuration example (Tegsys)

A customer involved in digital technology development consulted us about a GPU machine for AI model development. Since it is used for AI inference, the performance of the GPU is the most important, and we would like the CPU to match it.

It is necessary to secure one each for frequently used data and one for data storage, and the ideal configuration is to have both HDDs and 1TB or more SSDs.

In addition, the housing is assumed to be a tower type, and it is also a condition that it has a configuration that can be operated in a 100V environment.

The following information is required as specific requirements.

・CPU: Matches GPU performance
・GPU: High performance as much as possible within the budget
・ Storage: 3 to 5 TB in total (including SSD of 1 TB or more)
・Memory: 128GB or more
・Power supply: Can be used in a 100V environment
・OS: Windows 11 Professional 64bit
・Budget: About 400 million yen

Based on the information you provided, we have provided the following configuration.

CPU Intel Xeon W5-2465X (3.10GHz 16 cores)
memory 128GB REG ECC
Storage 1 1TB M.2 SSD
Storage 2 4TB HDD SATA
Video NVIDIA RTX6000 Ada 48GB x2
network on board (2.5GbE x1, 10GbE x1)
Housing + power supply Tower type housing + 1600W
OS Microsoft Windows 11 Professional 64bit

This is a configuration example that meets the customer's desired conditions.

Based on the fact that GPU performance is the most important, as of August 2023, it is configured with two NVIDIA RTX8 Ada 6000GB, the latest video cards for high-end workstations.
Also, according to the GPU, the CPU is the Intel Xeon W series W5-2465X (3.10 GHz 16 cores), which is a processor for workstations.

The maximum output of the installed power supply unit is 200W when used in a 1600V environment, and about 100W when used in a 1300V environment.
The maximum power consumption of this configuration is approximately 1100W, so operation in a 100V environment is possible.

The configuration of this case study is based on the conditions given by the customer.
We will flexibly propose machines according to your conditions, so please feel free to contact us even if you are considering different conditions than what is listed.

 

■FAQ

・What is the RTX 6000 Ada?
The RTX6000 Ada is a video card for AI computing released by NVIDIA and has the following features.

・Equipped with hardware functions specialized for AI workloads
・Equipped with 568 Tensor Cores, enabling high-speed deep learning operations
・Equipped with 48GB of GDDR6 memory, capable of handling large data sets
・Highly compatible with CUDA and cuDNN, NVIDIA's software development kits
・Supports virtualization technology and can run AI workloads on multiple virtual machines

reference:NVIDIA RTX 6000 Ada Generation Graphics Card (NVIDIA) *Jumps to an external site

 

■ Click here for details and inquiries about this PC case
AI development machine with 6000x RTX2Ada

* Please enter the name of the case or your desired conditions.

  • Deepearning
  • Machine learning
  • AI
  • Machine learning (machine learning)

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