EK-U1-ZCU216-V1-G

Applications

The EK-U1-ZCU216-V1-G is designed for various high-performance computing tasks, particularly in AI and machine learning. It excels in deep learning inference, training large models, and running complex neural networks. This device is also suitable for edge computing solutions that require real-time processing capabilities.

Industry-specific implementations include:

• AI/ML Applications: Used in autonomous vehicles for object detection and classification at high speeds.
• Edge Computing: Deployed in smart cities for real-time traffic analysis and monitoring.
• Healthcare: Utilized in medical imaging for rapid image processing and diagnostics.

Technical Parameters:

• Operating Temperature: -20°C to +70°C
• Power Consumption: Up to 15W

Key Advantages

1. **High Performance GPU:** Equipped with advanced GPUs capable of handling demanding computational tasks efficiently.

2. **Compact Design:** Despite its powerful performance, it maintains a compact form factor, making it ideal for space-constrained environments.

3. **Power Efficiency:** Designed to consume minimal power while delivering maximum performance, reducing operational costs.

4. **Certification Standards:** Meets stringent industry certifications ensuring reliability and compliance with international standards.

Frequently Asked Questions

Q1: What is the maximum power consumption of the EK-U1-ZCU216-V1-G?

A1: The maximum power consumption of the EK-U1-ZCU216-V1-G is up to 15W.

Q2: Can the EK-U1-ZCU216-V1-G be used in outdoor environments?

A2: Yes, the EK-U1-ZCU216-V1-G can operate within an extended temperature range from -20°C to +70°C, making it suitable for outdoor applications.

Q3: In which specific scenarios would you recommend using the EK-U1-ZCU216-V1-G?

A3: The EK-U1-ZCU216-V1-G is recommended for scenarios requiring high-speed AI inference, such as real-time video analytics in security systems, and for edge computing tasks like IoT devices processing local data without cloud connectivity.

Other people’s search terms

– High-performance AI accelerator

– Compact AI solution for edge computing

– Efficient GPU for deep learning

– Low-power AI hardware

– Certified AI processing unit