NVIDIA H200 NVL 4GPU AI server

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.

One of the current demands for AI is "physical AI," and I believe there are increasing opportunities to hear related terms such as "Omniverse" and "Isaac Sim." This time, I would like to unravel the current role and position of "Omniverse."

We exhibited at the "Robotics and Mechatronics Conference" held at the Hakata International Exhibition Hall & Conference Center from June 30 to July 1, 2026. Thank you very much to everyone who took the time to visit our booth despite your busy schedules! Today, we will provide a report on the atmosphere of the booth and the exhibits.