A customer involved in volcano research approached us for a workstation for semantic segmentation using MMSegmentation.
My budget is about 100 million yen, and I would like the product to be shipped with MMSegmentation installed.
Based on the conditions you provided, we proposed the following configuration:
| CPU | Intel Core i9-14900K (3.20GHz 8 cores + 2.40GHz 16 cores) |
| memory | 64GB 32GB x2 |
| storage | 1TB SSD M.2 NVMe Gen4 |
| Video | NVIDIA Geforce RTX4090 24GB |
| network | on board (2.5GBase-T x1) Wi-Fi x1 |
| Housing + power supply | Middle tower type housing + 1500W |
| OS | Microsoft Windows 11 Professional 64bit |
| Other | MMsegmentation installation service Includes Miniconda, CUDA Toolkit, and Pytorch |
Configuration with GPU performance in mind, tailored to your software
The CPU is equipped with the latest Core 2024th generation top model, the Core i7-14K, which is the latest as of July 9.
The application you plan to use, "MMSegmentation," is one that uses the GPU for processing. Therefore, we placed importance on the GPU specifications and adopted the high-end model of the Geforce series, "Geforce RTX4090 24GB." It is a product with excellent cost performance, so you can expect both budget and performance.
For other specifications, we have proposed provisional settings based on your budget.
It comes with 64GB of memory and 1TB SSD M.2 storage, but this can be changed to suit your needs.
MMSegmentationInstallation service
This proposal includes the installation service of "MMSegmentation".
The setup process requires Miniconda, CUDA Toolkit and Pytorch, so these software will be installed when you ship the product.
The scope of work is assumed to be up to “Verify the installation” in the setup procedure described in the official repository.
Official repository: mmsegmentation/docs/en/get_started.md at main open-mmlab/mmsegmentation GitHub
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.
■ Keywords・What is semantic segmentation? A deep learning algorithm that segments images by associating a label or category with every pixel in the image. Used in autonomous driving, environmental recognition, medical image analysis, etc. ・What is MMSegmentation? A Pytorch-based toolbox for semantic segmentation. Models with multiple architectures are provided and are publicly available on GitHub.
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