Specification of XC7VX330T-2FF1761C | |
---|---|
Status | Active |
Series | Virtex?-7 XT |
Package | Tray |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | 0¡ãC ~ 85¡ãC (TJ) |
Package / Case | 1760-BBGA, FCBGA |
Supplier Device Package | 1761-FCBGA (42.5×42.5) |
Number of LABs/CLBs | 25500 |
Number of Logic Elements/Cells | 326400 |
Total RAM Bits | 27648000 |
Number of I/O | 700 |
Applications
The XC7VX330T-2FF1761C 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 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 300 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 industrial standards including CE, FCC, and RoHS certifications.
Frequently Asked Questions
Q1: Can the XC7VX330T-2FF1761C be used in high-temperature environments?
A1: Yes, it can operate effectively between -40¡ãC and +85¡ãC, making it suitable for both indoor and outdoor applications.
Q2: What are the compatibility requirements for this device?
A2: The XC7VX330T-2FF1761C is compatible with a variety of operating systems including Linux, Windows, and macOS. It also supports multiple programming languages like C++, Python, and Java.
Q3: In which specific scenarios would you recommend using this XC7VX330T-2FF1761C?
A3: This device is recommended for scenarios requiring high-speed data processing and machine learning tasks, such as real-time data analysis in financial markets and predictive maintenance in manufacturing industries.
Other people’s search terms
– High-performance computing solutions
– AI training accelerators
– Cloud computing hardware
– Industrial-grade computing devices
– Memory-intensive applications support