Specification of XC2V1000-6FFG896C | |
---|---|
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 XC2V1000-6FFG896C is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in applications 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, making it suitable for various industrial settings.
Key Advantages
1. High clock speed up to 600 MHz, providing superior computational performance.
2. Advanced parallel processing architecture that enhances data throughput.
3. Energy-efficient design with low power consumption per gigaflop.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: Can the XC2V1000-6FFG896C be used in extreme temperature conditions?
A1: Yes, it can operate effectively between -40¡ãC and +85¡ãC, ensuring reliability in harsh environments.
Q2: What are the compatibility requirements for the XC2V1000-6FFG896C?
A2: The XC2V1000-6FFG896C is compatible with standard 2.5 Gbps DDR4 memory modules and supports PCIe Gen 3 interfaces for enhanced connectivity options.
Q3: In which specific scenarios would you recommend using the XC2V1000-6FFG896C?
A3: The XC2V1000-6FFG896C is recommended for scenarios requiring high-speed data processing, such as real-time analysis in financial markets, deep learning model training, and complex simulation tasks in aerospace engineering.
Other people’s search terms
– High-performance computing solutions
– Artificial intelligence hardware accelerators
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– Energy-efficient processor architectures