XpertStation WS300 AI Supercomputer
Next-generation workstation that enables the use of data center-level AI performance in the laboratory.
The XpertStation WS300 is a data center-grade high-end workstation based on the NVIDIA DGX Station Architecture. It is equipped with the NVIDIA Grace CPU Superchip and NVIDIA Blackwell Ultra GPU, supporting a coherent memory configuration that allows for shared large-capacity memory between the CPU and GPU. It supports advanced research and development applications such as AI training and inference, data analysis, and simulation all in one unit. It enables high-load processing, which previously required large-scale facilities, to be implemented in a more accessible environment within laboratories and development departments.
basic information
Chassis shape: Tower type External dimensions: Approximately 247.8 (width) × 527.9 (height) × 582.7 (depth) mm CPU: NVIDIA Grace CPU Superchip (Arm Neoverse V2 72 cores) GPU: Equipped with NVIDIA Blackwell Ultra GPU Memory: Total capacity 748GB (CPU memory up to 496GB LPDDR5X / GPU memory up to 252GB HBM3e) Storage: NVMe M.2 compatible, PCIe 5.0×4×2, PCIe 6.0×4×2 Network: 400GbE QSFP112×2, 10GbE RJ45×1 Power supply: 1600W high-efficiency power supply, 80PLUS Titanium Cooling: Liquid cooling system for CPU and GPU with 6 fans
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Applications/Examples of results
It is suitable for AI model development, generative AI, deep learning, LLM inference, data science, large-scale scientific simulations, and multimodal analysis. It is effective for applications in university and research institutions, R&D departments in manufacturing, AI development companies, and data analysis departments where it is difficult to introduce GPU servers but high computational performance is required. It can be utilized as a tower workstation that can be installed in a laboratory for PoC, model validation, analysis processing, and building simulation environments.
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[Blog] An Explanation of Changes in Data Centers and New Options
In recent years, have you noticed the changes in data centers? The needs for data centers are currently fluctuating significantly due to the explosive spread of AI. This time, we will introduce the changes in data centers in the IT industry, which can be seen as a reflection of the trends of the times.
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[Blog] Overcoming GPU Memory Shortage. Starting Local Large-Scale AI with the 748GB Equipped "MSI XpertStation WS300"
While the use of generative AI is expanding, manufacturing industries and research institutions are facing challenges such as: - Inability to upload confidential data and design information to the cloud - Desired AI models not fitting into GPU memory - Desire to reduce cloud usage costs and waiting times In particular, large-scale language models (LLMs) and vision-language models (VLMs), which process images and text together, are becoming larger. It is not uncommon for general 48GB or 96GB class GPUs to be unable to load the entire model. A new option to address these challenges is the "MSI XpertStation WS300," equipped with 748GB of coherent memory. This article will clearly explain the features of the WS300 and what types of AI development it is suitable for.
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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.