Specification of XC7VX415T-1FF1157I | |
---|---|
Status | Active |
Series | Virtex?-7 XT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 32200 |
Number of Logic Elements/Cells | 412160 |
Total RAM Bits | 32440320 |
Number of I/O | 600 |
Number of Gates | – |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1157-FCBGA (35×35) |
Applications
The XC7VX415T-1FF1157I 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¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 600 MHz, enabling faster processing tasks.
2. Advanced memory interface supporting DDR4 at speeds up to 2666 MT/s.
3. Energy-efficient design with power consumption optimized for extended operation.
4. Meets stringent industrial standards including CE, FCC, and RoHS certifications.
Frequently Asked Questions
Q1: Can the XC7VX415T-1FF1157I handle high-frequency data transfers?
A1: Yes, it supports DDR4 memory interfaces at speeds up to 2666 MT/s, making it suitable for high-speed data transfer requirements.
Q2: Is this device compatible with legacy systems?
A2: The XC7VX415T-1FF1157I is backward-compatible with previous generations, ensuring smooth integration into existing systems without major modifications.
Q3: In which specific scenarios would you recommend using this XC7VX415T-1FF1157I?
A3: This device is recommended for scenarios requiring high computational power and energy efficiency, such as AI model training, real-time data analysis, and cloud-based applications that demand robust performance under varying loads.
Other people’s search terms
– High-performance computing solutions
– Artificial intelligence hardware accelerators
– Cloud computing infrastructure components
– DDR4 memory interface processors
– Industrial-grade FPGA devices