Deep learning machine with GeForce RTX 4090

A customer involved in speech synthesis research consulted us about a machine for machine learning of spoken language.

The budget is about 60 yen to 70 yen, and the desired specifications are as follows.

At the time of consultation, the impact of the exchange rate increase was significant, and it was difficult to propose a configuration that supports multiple GPUs within the budget, so we prepared a configuration that supports 1 GPU. It will be a configuration that does not support the addition of a second GPU.

【Main Specifications】

In addition, regarding the installation of Ubuntu 18.04, we have provided the following information and are considering the policy.

From the customer "If you try installing Ubuntu 18.04 and have problems, feel free to change to 20.04 or 22.04”, so in this example, we have chosen an OS that meets your needs.

In addition, the GPU uses the new RTX4090.
Due to the large physical size and heat generation of the RTX4090, it is necessary to pay close attention to the airflow inside the housing.This example is a hardware configuration that supports up to 1 GPU, so it also supports the internal exhaust type RTX4090.Therefore, if there are no restrictions on the GPU on the software you use, you can expect higher processing performance than the old product RTX3090.

TEGAKARI

2022.11.10

[Operation verification] GeForce RTX4090 installation-OS operation verification information

https://www.tegakari.net/2022/11/rtx4090_report

The latest model of the NVIDIA Geforce series, the RTX4090, was released in October 2022.In this article, we will guide you through the installation confirmation and OS operation verification information that we have carried out...

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