Specification of XC4VLX200-10FF1513I | |
---|---|
Status | Active |
Series | Virtex?-4 LX |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 22272 |
Number of Logic Elements/Cells | 200448 |
Total RAM Bits | 6193152 |
Number of I/O | 960 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 1513-BBGA, FCBGA |
Supplier Device Package | 1513-FCBGA (40×40) |
Applications
The XC4VLX200-10FF1513I 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 climates.
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 XC4VLX200-10FF1513I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for both cold and hot climates.
Q2: What are the compatibility requirements for this device?
A2: The XC4VLX200-10FF1513I is compatible with a variety of operating systems including Linux, Windows, and macOS, and it supports multiple hardware interfaces like PCIe and USB.
Q3: In which specific scenarios would you recommend using this XC4VLX200-10FF1513I?
A3: This device is recommended for scenarios requiring high-speed data processing and analysis, such as real-time video streaming, scientific simulations, and financial trading platforms.
Other people’s search terms
– High-performance computing solutions
– AI training accelerators
– Cloud computing hardware
– Industrial-grade computing devices
– DDR4 memory support in processors