Solutions by industry and area

manufacturing

We provide optimal GPU configurations and technical support tailored to the unique AI application needs of the manufacturing industry.

Challenges of AI adoption in the manufacturing industry

As AI adoption progresses, the manufacturing industry faces unique challenges, including reducing downtime, handling confidential information, processing time, and a shortage of AI talent. Understanding and resolving these challenges correctly is key to successful AI implementation.

  • Processing load of high-resolution images and videos

  • The ROI of investments in computing resources is not visible.

  • Personalization of line-down response

  • Building a secure AI infrastructure

Advanced manufacturing AI enabled by NVIDIA technology

By combining NVIDIA's GPUs, AI software, and simulation technologies, we build an AI platform optimized for manufacturing workloads, simultaneously achieving faster processing, improved accuracy, and increased operational efficiency.

Image of building a high-speed computing infrastructure

Construction of a high-speed computing infrastructure

NVIDIA GPUs deliver unparalleled computing power, accelerating the processing of high-resolution images and videos. Tasks that previously took hours can now be completed in just minutes.

Image of improving GPU resource utilization and overall optimization.

Improved GPU resource utilization and overall optimization

It is important to reduce GPU idle time using GPU resource management tools and to identify and allocate computing resources to multiple issues or factory-wide issues, rather than investing in computing resources for a single issue.

Image of digitizing tasks that rely on individual expertise

Digitalization of tasks that rely on individual expertise

It is possible to train the AI to generate manuals for each device, and to reinforce robots with special skills through learning.

Image of a secure AI execution environment

Secure AI execution environment

Enterprise-grade security ensures reliable AI execution while protecting your data, providing an environment where you can confidently utilize AI.

Specific application scenarios in the manufacturing industry

AI is increasingly being used in various business areas within the manufacturing industry. Below, we introduce use cases that lead to actual business improvement and sophistication.

  • Accelerating large-scale data processing

  • Automation and efficiency improvements for tests such as visual inspection.

  • Analysis and improvement of workers using surveillance cameras

  • Utilization of device manuals generated by AI / Inquiry response via chatbot

  • Reduction of human resources/man-hours through the introduction of robots

  • AI chatbot response for customer inquiries

  • Simulation of production line changes/improvements using digital twins

Examples of AI solutions in the manufacturing industry

This presentation showcases NVIDIA solutions for AI implementation. Through challenges, solutions, and results, you can gain a concrete understanding of how AI can be used in the manufacturing industry.

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