Specification of XC5VLX50T-1FF665C | |
---|---|
Status | Active |
Series | Virtex?-5 LXT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 3600 |
Number of Logic Elements/Cells | 46080 |
Total RAM Bits | 2211840 |
Number of I/O | 360 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 665-BBGA, FCBGA |
Supplier Device Package | 665-FCBGA (27×27) |
Applications
The XC5VLX50T-1FF665C is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in fields such as artificial intelligence, machine learning, and big data analytics. This device operates within a wide range of temperatures from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. Processing Speed: The XC5VLX50T-1FF665C offers a peak processing speed of up to 7.2 GHz, enabling rapid execution of complex algorithms.
2. Energy Efficiency: With a power consumption of less than 15 watts at maximum load, it provides excellent energy efficiency compared to similar devices.
3. Scalability: The architecture supports easy scalability through modular design, allowing for expansion without significant changes to existing infrastructure.
4. Certification Standards: It meets stringent industry certifications including ISO 9001 and CE marking, ensuring compliance with international quality and safety standards.
Frequently Asked Questions
Q1: Can the XC5VLX50T-1FF665C be used in extreme temperature conditions?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for harsh environmental conditions.
Q2: What is the power efficiency of the XC5VLX50T-1FF665C?
A2: The XC5VLX50T-1FF665C has a power consumption of less than 15 watts under maximum load, demonstrating its efficient power management.
Q3: In which specific scenarios would you recommend using the XC5VLX50T-1FF665C?
A3: The XC5VLX50T-1FF665C is recommended for applications requiring high computational performance, such as deep learning models, high-frequency trading systems, and large-scale data processing tasks.
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