This configuration focuses on training and running AI models and neural networks.
Equipped withHigh-end GPU "RTX6000 Ada"is a GPU specialized for advanced computational tasks such as DeepLearning and implements 48GB of video memory. Large video memory is an advantage when using large batch sizes in major AI models.
| Reference article: “Performance comparison verification of RTX series GPUs in major AI models” |
TEGSYS has installed two RTX A6000 Ada as a leading example."Case No. PC-11248 AI development machine equipped with RTX6000Ada x2"We have received high praise and have received many inquiries and orders.
This case study is based on the PC-11248, but based on the concept of a "cost-friendly GPU machine," we have implemented an RTX A6000 Ada x 1 unit configuration, and have reviewed the specifications other than the GPU as a whole, making it easier to introduce costs and configurations. We aimed for
Note that the configuration in this case has multiple PCIe slots, so it can accommodate the addition of GPUs in the future.
*If you plan to add more GPUs, please let us know as we will change the specifications separately.
In addition, since the CPU uses the Intel Xeon series, it has sufficient processing power for purposes other than AI model development.
In addition, we can offer customization to suit your needs, such as installing large-capacity memory, changing the number of CPU cores, and changing storage capacity.
Please feel free to contact us please.
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