Specification of HW-V5-ML505-UNI-G-J | |
---|---|
Status | Obsolete |
Series | Virtex?-5 LXT |
Package | Box |
Supplier | AMD |
Type | FPGA |
For Use With/Related Products | XC5VLX50T |
Platform | Virtex-5 LXT FPGA ML505 UNI Japan |
Contents | Board(s) – Power Supply Not Included – |
Applications
The HW-V5-ML505-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 and predictive maintenance.
- Healthcare Sector: Employed in medical imaging analysis and patient monitoring systems.
- Financial Services: Utilized in algorithmic trading and risk assessment models.
Operating Temperature: -10¡ãC to +60¡ãC
Key Advantages
1. **High Processing Speed:** Capable of handling complex computational tasks at speeds up to 5 GHz.
2. **Advanced Cooling System:** Equipped with a unique liquid cooling technology that enhances thermal management.
3. **Power Efficiency:** Consumes less than 100W under maximum load conditions.
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 enhanced version?
A1: The enhanced version includes additional cooling modules which improve heat dissipation and extend operational life.
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: Can this hardware be used in extreme environments?
A3: While it operates within a wide temperature range (-10¡ãC to +60¡ãC), extreme conditions may affect its longevity; therefore, it is recommended to consult the manufacturer¡¯s guidelines.
Other people’s search terms
– High-speed computing solutions
– Advanced cooling technology
– Energy-efficient hardware
– Industrial-grade computing devices
– Enhanced performance computing