Specification of XC5VSX95T-2FFG1136C | |
---|---|
Status | Active |
Series | Virtex?-5 SXT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 7360 |
Number of Logic Elements/Cells | 94208 |
Total RAM Bits | 8994816 |
Number of I/O | 640 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1136-BBGA, FCBGA |
Supplier Device Package | 1136-FCBGA (35×35) |
Applications
The XC5VSX95T-2FFG1136C 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. High clock speed up to 750 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 XC5VSX95T-2FFG1136C be used in extreme temperature conditions?
A1: Yes, it can operate effectively between -40°C and +85°C, ensuring reliability in harsh environments.
Q2: What are the compatibility requirements for this device?
A2: The XC5VSX95T-2FFG1136C is compatible with a variety of operating systems and software platforms, including Linux, Windows, and macOS, and supports multiple programming languages like C++, Python, and Java.
Q3: In which specific scenarios would you recommend using this XC5VSX95T-2FFG1136C?
A3: This device is recommended for applications requiring high-speed data processing, such as real-time analysis in financial markets, predictive maintenance in manufacturing, and complex simulations in scientific research.
Other people’s search terms
– High-performance computing solutions
– AI acceleration with XC5VSX95T-2FFG1136C
– Machine learning hardware accelerators
– Efficient data processing components
– Industry-standard certified processors