[3 Days from April 8th] How to Build AI Infrastructure? NVIDIA Partners to Showcase Latest Configurations and Implementation Cases from Edge to Data Center
An AI infrastructure building seminar by NVIDIA partners will be held at Japan IT Week 2026.
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 00:00
- 🔍 Collected: March 30, 2026 at 22:56
- 🤖 AI Analyzed: April 15, 2026 at 23:04 (384h 8m after Collected)
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
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.
FAQ
What is the main topic of the seminar?
The seminar focuses on how to build AI infrastructure, covering the latest configurations and implementation cases from edge to data center, presented by NVIDIA partner companies.
When and where will the seminar be held?
The seminar will be held at Tokyo Big Sight from April 8th to April 10th, 2026, as part of Japan IT Week [Spring] 2026.
Who are the presenting companies?
The session will feature presentations by NVIDIA's strategic partners, including ASUS, MSI, ADLINK, and Advantech.
What are the key benefits of attending this session?
Attendees will gain an understanding of the overall AI infrastructure landscape, learn about configuring and selecting GPU servers and Jetson, see real-world AI use cases, and get insights into operation and cost optimization.
Who should attend this seminar?
The seminar is targeted at IT system departments, infrastructure managers, AI implementation/DX project managers, individuals considering AI in manufacturing and social infrastructure, and engineers interested in edge AI and embedded development.
Is there a cost to attend the seminar?
No, venue registration is free. However, registration is required to attend the seminar.