[3 Days from April 8th] How to Build AI Infrastructure? NVIDIA Partners to Showcase Latest Configurations and Implementation Cases from Edge to Data Center

RX Japan Ltd. (Headquarters: Chuo-ku, Tokyo, Representative Executive Officer and President: Takeshi Tanaka) will host the open seminar "Latest Technology Session by NVIDIA Partners" at "Japan IT Week [Spring] 2026," to be held at Tokyo Big Sight from Wednesday, April 8th to Friday, April 10th, 2026, featuring presentations by NVIDIA partner companies. ■Background: The Era Where "AI Infrastructure" Determines the Success or Failure of Generative AI As the utilization of generative AI moves from PoC (Proof of Concept) to full-scale implementation, companies' challenges are shifting from "how to use it" to "how to support it." The design of "AI infrastructure (the foundation for running AI in the field)" – encompassing not only GPU servers and data centers but also edge AI and industrial applications – has become a critical factor in determining outcomes. In this session, strategic NVIDIA partners such as ASUS, MSI, ADLINK, and Advantech will present, explaining the overall picture of AI infrastructure and its actual use cases and configurations in the field. ■Highlights of This Session (Understanding the Overall Picture of AI Infrastructure Over 3 Days) This session is structured along the flow of AI implementation, allowing for a comprehensive understanding from data centers to edge and industrial applications. ● Day 1: AI Possibilities and Overall Picture (April 8th) ・Explanation of the latest AI servers such as NVIDIA DGX/MGX ・Implementation cases of facial recognition, bear detection, etc., using Jetson ・Latest trends in Vision AI and Robotics

● Day 2: Infrastructure Design and Edge Collaboration (April 9th) ・Evolution of AI data centers and server integration ・Utilization of industrial edge AI (ASUS IoT)

● Day 3: Implementation, Operation, and Cost Optimization (April 10th) ・TCO reduction through Embedded AI ・Utilization of industrial PCs and Jetson-based products

What You Will Gain from This Session ・Overall picture of AI infrastructure (from data center to edge)

・Concepts for configuring and selecting GPU servers/Jetson, etc.

・Actual AI use cases operating in the field

・Key points for post-implementation operation and cost optimization

Target Audience ・Information Systems Department / Infrastructure Managers

・Project Managers for AI Implementation / DX Promotion

・Those considering AI utilization in manufacturing and social infrastructure fields

・Engineers interested in edge AI and embedded development

Seminar Details Here

The content of this seminar includes exclusive information that can only be heard at the venue and is a must-see for companies considering the implementation of generative AI. Venue registration is required to attend the seminar.

★Venue registration (free) is here.