AI workstation equipped with multi-GPU, usable in a 100V environment.
High-end GPUs consume a lot of power, and in a typical 100V 1500W environment, it is often only possible to install one unit. This model can accommodate 2 to 4 high-end GPUs in a 100V environment by equipping it with two large-capacity power supplies. There is no need to prepare a dedicated server room or carry out 200V electrical work, making it possible to introduce a machine that is optimal for AI development. ■Main Features and Characteristics - Supports a theoretical maximum power consumption of 3000W - Can be configured with up to 4 high-end GPUs - Rack-mounted models are also available (6U size) - CPU, memory, and storage can be customized according to your needs and budget
Inquire About This Product
basic information
- WST-W53425S3N960TNVM Workstation Equipped with two NVIDIA GeForce RTX 50090 32GB graphics cards. High clock speed and high-power GPU enable fast learning and development. This model offers excellent cost performance. - WST-XW72595S3Q2TTNVM Workstation Equipped with two NVIDIA RTX PRO 6000 96GB graphics cards. Can be expanded up to four units based on your requirements. With large capacity memory and high power efficiency, it is recommended for large-scale learning and long-duration tasks. This model features a chassis that can also be used as a rack mount, allowing for flexible customization according to the environment and application.
Price range
Delivery Time
Applications/Examples of results
- Simulation, image analysis - AI development, generative AI, local LLM - Materials informatics, bioinformatics
catalog（1）
Download All Catalogs
Company information
Applied Corporation is a computer manufacturing company based in Hakata-ku, Fukuoka City, Fukuoka Prefecture, with 65 locations nationwide. We provide the latest business proposals, from cutting-edge computers to the implementation of DX and solutions, for corporate clients across the country.
![[Research and Development PC Configuration Example] Machine for Finite Element Method Analysis](https://image.mono.ipros.com/public/product/image/581/2000762963/IPROS02432289767444386473.jpeg?w=280&h=280)
