Specification of HW-V5-ML525-UNI-G-J | |
---|---|
Status | Obsolete |
Series | Virtex?-5 LXT |
Package | Box |
Supplier | AMD |
Type | FPGA |
For Use With/Related Products | XC5VLX330T |
Platform | Virtex-5 LXT FPGA ML525 UNI Japan |
Contents | Board(s), Cable(s) – Power Supply Not Included – |
Applications
The HW-V5-ML525-UNI-G-J is designed for various industrial applications requiring high-performance computing and data processing capabilities. Here are some specific use cases:
- Manufacturing Industry: Used in automated assembly lines for real-time quality control analysis.
- Healthcare Sector: Employed in medical imaging systems for enhanced diagnostic tools.
- Financial Services: Utilized in algorithmic trading platforms for complex financial modeling.
Operating Temperature: -10¡ãC to +60¡ãC
Key Advantages
1. **High Processing Speed:** Capable of handling up to 8 teraflops per second.
2. **Advanced Neural Network Architecture:** Specialized for deep learning tasks with improved accuracy rates.
3. **Energy Efficiency:** Consumes less than 100 watts under maximum load.
4. **Certification Standards:** Meets international safety and environmental standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: What is the difference between the standard version and the extended version?
A1: The extended version includes additional cooling mechanisms and supports higher ambient temperatures.
Q2: Is this hardware compatible with existing systems?
A2: Yes, it is backward compatible with most current systems but requires software updates for optimal performance.
Q3: In which specific scenarios would you recommend using this hardware?
A3: This hardware is recommended for environments that require continuous operation without downtime, such as server rooms and critical infrastructure settings.
Other people’s search terms
– High-performance computing solutions
– Advanced neural network processors
– Energy-efficient AI hardware
– Industrial-grade computing devices
– Deep learning accelerators