Specification of XC5VLX30T-2FFG323I | |
---|---|
Status | Active |
Series | Virtex?-5 LXT |
Package | Tray |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | -40°C ~ 100°C (TJ) |
Package / Case | 323-BBGA, FCBGA |
Supplier Device Package | 323-FCBGA (19×19) |
Number of LABs/CLBs | 2400 |
Number of Logic Elements/Cells | 30720 |
Total RAM Bits | 1327104 |
Number of I/O | 172 |
Applications
The XC5VLX30T-2FFG323I 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 cloud computing services. This device operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 600 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 at speeds up to 2667 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 XC5VLX30T-2FFG323I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for both indoor and outdoor applications.
Q2: What are the compatibility requirements for the XC5VLX30T-2FFG323I?
A2: The XC5VLX30T-2FFG323I is compatible with a variety of operating systems including Linux, Windows, and macOS. It also supports multiple network protocols and interfaces.
Q3: In which specific scenarios would you recommend using the XC5VLX30T-2FFG323I?
A3: This device is recommended for scenarios requiring high-speed data processing, such as real-time video analysis, machine learning model training, and large-scale database queries.
Other people’s search terms
– High-performance computing solutions
– AI hardware accelerators
– DDR4 memory support devices
– Industrial-grade computing modules
– Energy-efficient computing platforms