Specification of XC2V1000-4FFG896C | |
---|---|
Status | Obsolete |
Series | Virtex?-II |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1280 |
Number of Logic Elements/Cells | – |
Total RAM Bits | 737280 |
Number of I/O | 432 |
Number of Gates | 1000000 |
Voltage – Supply | 1.425V ~ 1.575V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 896-BBGA, FCBGA |
Supplier Device Package | 896-FCBGA (31×31) |
Applications
The XC2V1000-4FFG896C is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in fields such as artificial intelligence training, big data analytics, and scientific simulations. This device operates within a wide range of temperatures from -40¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 750 MHz, providing superior computational performance.
2. Advanced parallel processing architecture that enhances data throughput.
3. Low power consumption of only 15W at maximum load, making it energy-efficient.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: What is the maximum operating temperature for the XC2V1000-4FFG896C?
A1: The maximum operating temperature for the XC2V1000-4FFG896C is +85¡ãC.
Q2: Can the XC2V1000-4FFG896C be used in environments with high humidity?
A2: Yes, the XC2V1000-4FFG896C is designed to operate effectively in environments with relative humidity up to 95% non-condensing.
Q3: In which specific scenarios would you recommend using the XC2V1000-4FFG896C?
A3: The XC2V1000-4FFG896C is recommended for scenarios requiring high-speed data processing and machine learning tasks, such as real-time data analysis in financial markets and predictive modeling in healthcare.
Other people’s search terms
– High-performance computing solutions
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– Energy-efficient processors
– Industry-standard certifications
– Parallel processing technology