Event

  Inventec Corporation is proud to participate in GTC 2025 as a Gold Sponsor and to present the Exhibit Hall Theater Session, “AI Agent-in-a-Box: Design and Deploy Robust Edge AI Applications,” on Wednesday, March 19, from 4:00 PM to 4:15 PM PDT in the exhibit hall.   Edge AI enables low-latency responses and enhanced data security while operating within constrained computing resources. These edge devices serve as real-world AI agents capable of addressing diverse missions. Therefore, in this session, we'll share insights into developing AI applications on high-performance servers and deploying solutions using edge AI boxes powered by NVIDIA Jetson GPUs.   Key discussion points will include real-world use cases such as: Monitoring regional cloud and fog patterns Enhancing medical diagnostics with AI-driven analysis Detecting anomalies in production lines for improved quality control Utilizing AI-powered robots for assembly operations   Additionally, we'll discuss our decision-making process for selecting and optimizing algorithms to balance resource constraints with user expectations, ensuring optimal performance, efficiency, and reliability across various scenarios.   Key topic Resource-constrained edge AI boxes can present unique challenges for developing AI agents Unified frameworks and codebases can ensure scalability across diverse hardware platforms Remote management and update capabilities are crucial for maintaining robustness in varied operational environments   Join us to explore how Inventec is driving innovation in Edge AI solutions!

Inventec Corporation is honored to participate in GTC 2025 as a Gold Sponsor and to present the on-demand session, "Manufacturing for AI and AI for Manufacturing," available on the GTC portal.   In this session, we will share our experience leveraging NVIDIA technologies to build high-performance AI servers and develop AI-driven solutions for smart manufacturing. Drawing from real-world experience, we will discuss key challenges, including overcoming structural hurdles in server design and deploying AI effectively within manufacturing environments.   Key topics include: Training-free techniques and the use of NVIDIA Omniverse to accelerate AI deployment while reducing reliance on large-scale labeled datasets. Strategies for deploying AI across diverse, dynamic environments while ensuring operational efficiency and security. AI-driven automation in manufacturing, enabling smarter and more efficient processes.   This session offers technical insights and practical strategies to empower your AI initiatives. We warmly invite you to join us and explore more details