Join Leadtek at NVIDIA’s GTC for a transformative global event that brings together brilliant, creative minds looking to ignite ideas, build new skills, and forge new connections to take on our biggest challenges. It all comes together online April 12 - 16, kicking off with CEO and Founder Jensen Huang’s keynote.
to over 1200+ sessions during GTC
Want to see the factory of the future? Join Leadtek’s session at NVIDIA GTC.
* Language: Chinese * Subtitle: English
SESSION CODE：SS32732
PRIMARY TOPIC：Data Center / Cloud Infrastructure
SPEAKER：Chia Hao Liu / Leadtek Technical Manager, NVIDIA Certified DLI Instructor
SESSION DESCRIPTION：If an enterprise wants to develop deep learning and artificial intelligence applications in an internal environment, in addition to the required GPU, how to develop the platform architecture and related hardware resource management has always been a crucial topic in the team. Leadtek has launched management system tools integrated in the NVIDIA data science workstation in 2019. It provides a graphical interface, allowing administrators to more effectively manage the hardware resources used by AI projects and monitor system resources in simplest ways. In 2021, the architecture and specifications are further optimized to provide a more complete GPU resource management system for AI development.
SESSION CODE：SS32964
PRIMARY TOPIC：Data Center / Cloud Infrastructure2
SPEAKER：Hung Yu Hsueh / Leadtek Senior Engineer, NVIDIA Certified DLI Instructor
SESSION DESCRIPTION：If an enterprise wants to develop deep learning and artificial intelligence applications, the most important thing is a development environment with NVIDIA GPUs. However, it takes time to build and tune these infrastructures. Leadtek has launched software integrated into the NVIDIA data science workstation, which can integrate the packages and tools used in AI project analysis, providing the most optimized and most suitable platform for deep learning research and development. In 2021, the architecture is further optimized to meet the requirements of the NVIDIA EGX series system, and the AI development and research system with integrated software and hardware is completed.
SESSION CODE：SS32965
PRIMARY TOPIC：Deep Learning Inference
SPEAKER：Wei Yen Lin / Leadtek Senior Manager, NVIDIA Certified DLI Instructor
SESSION DESCRIPTION：The AIDMS management system mainly assists production plants to quickly build computer visualization solutions and provides multiple pre-trained AI models. Users can classify and identify application fields based on various optical images to select and manage AI models. Provides various mainstream deep learning frameworks, which users can quickly apply to the latest deep learning models in real time. By learning optical images, AIDMS can use the trained AI model to verify the AI recognition results of optical images in real time. When the model training is completed, it is automatically deployed by AIDMS to the Edge device to achieve high-speed, high-precision computer visualization recognition. This course will take CAMINS TECHNOLOGY's gear defect detection system as a case, introduce the technical bottlenecks and pain points of AOI system development, and witness how the AIDMS management system can shorten the time and cost of system development and construction.
