GPU 솔루션

Simplify the Design and Deployment of Edge Computing and Edge AI Applications
ADLINK extends system performance, lifecycle, and ROI with hardware optimization

• Embedded Graphics/Deep Learning Accelerator
• GPU Computing Platform
• Edge AI Platform
• Customization Services

빠르고 선명함으로 메디컬 이미징의 정확도 향상

Medical imaging equipment helps doctors investigate symptoms, take biopsies, and treat lesions. Relentless innovation allows medical imaging equipment to offer improved real-time visual guidance in surgeries, shorten the time it takes for an image to be created, reduce patients’ risk and fit into busy operating rooms and rural clinics. For manufacturers of medical imaging equipment, demand for constant improvements in image reconstruction speed, image quality and size presents formidable challenges. Download the application note to learn how to surmount challenges with embedded GPU-enabled platforms.

Key Takeaways

• Key trends in development of medical imaging equipment
• Four challenges facing medical imaging equipment manufacturers
• One solution to all challenges
• Major benefits to medical care

Seizing 3.9T AI Market with GPU

The markets for AI are growing rapidly. It is predicted that the value of the global AI market will reach $3.9 trillion in 2022. Edge AI obtains data at the edge, processes it and returns insights in a fraction of a second, enabling right actions to be taken in the right time. GPU computing can react faster in AI applications at the edge. Such uses include medical imaging, manufacturing defect inspection, traffic flow analysis and more.

Key Takeaways

• Global AI market prospects in various market segments
• How to tap the power of NVIDIA Quadro® RTX performance for AI at the edge
• Why to choose ADLINK’s embedded MXM GPU modules for edge AI