Specification of XC7VX330T-2FFG1157C | |
---|---|
Status | Active |
Series | Virtex?-7 XT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 25500 |
Number of Logic Elements/Cells | 326400 |
Total RAM Bits | 27648000 |
Number of I/O | 600 |
Number of Gates | – |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1157-FCBGA (35×35) |
Applications
The XC7VX330T-2FFG1157C is ideal for high-performance computing environments due to its robust processing capabilities. It excels in applications such as artificial intelligence training, big data analytics, and cloud computing services. This device supports a wide range of operating 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 memory interface supporting DDR4 at speeds up to 2666 MT/s, enhancing data throughput.
3. Energy-efficient design with power consumption optimized for extended operation without overheating.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: Can the XC7VX330T-2FFG1157C be used in high-temperature environments?
A1: Yes, it operates within a temperature range of -40¡ãC to +85¡ãC, ensuring reliability in extreme conditions.
Q2: What are the compatibility requirements for this device?
A2: The XC7VX330T-2FFG1157C is compatible with standard DDR4 memory modules and supports various operating systems including Linux and Windows Server.
Q3: In which specific scenarios would you recommend using this XC7VX330T-2FFG1157C?
A3: This device is recommended for scenarios requiring high-speed data processing and machine learning tasks, such as financial market analysis, medical imaging, and autonomous vehicle technology.
Other people’s search terms
– High-performance computing solutions
– Artificial intelligence hardware accelerators
– Cloud computing infrastructure components
– DDR4 memory support devices
– Industrial-grade FPGA processors