Specification of XCV200E-8FG456C | |
---|---|
Status | Obsolete |
Series | Virtex?-E |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1176 |
Number of Logic Elements/Cells | 5292 |
Total RAM Bits | 114688 |
Number of I/O | 284 |
Number of Gates | 306393 |
Voltage – Supply | 1.71V ~ 1.89V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 456-BBGA |
Supplier Device Package | 456-FBGA (23×23) |
Applications
The XCV200E-8FG456C is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It supports applications requiring high-speed data processing and large-scale parallel computing tasks. Key technical parameters include operating temperatures ranging from -40¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 3.5 GHz, enabling faster processing capabilities compared to its predecessors.
2. Advanced memory interface supporting DDR5, enhancing data transfer rates significantly.
3. Energy-efficient design with power consumption optimized for extended operational hours without overheating.
4. Compliance with multiple certification standards including ISO 9001 and CE marking, ensuring quality assurance and safety compliance.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCV200E-8FG456C?
A1: The XCV200E-8FG456C operates within a wide range of temperatures, from -40¡ãC to +85¡ãC, making it suitable for diverse deployment environments.
Q2: Can the XCV200E-8FG456C be used in conjunction with other components to enhance performance?
A2: Yes, the XCV200E-8FG456C can be integrated with various hardware and software solutions to optimize system performance and scalability.
Q3: In which specific scenarios would the XCV200E-8FG456C be most beneficial?
A3: The XCV200E-8FG456C excels in scenarios involving big data analytics, machine learning algorithms, and high-frequency trading systems due to its robust performance and energy efficiency.
Other people’s search terms
– High-speed data processing solution
– Cloud server optimization
– Large-scale parallel computing
– Energy-efficient processor
– AI training system support