Specification of XC4VLX60-10FFG668I | |
---|---|
Status | Active |
Series | Virtex?-4 LX |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 6656 |
Number of Logic Elements/Cells | 59904 |
Total RAM Bits | 2949120 |
Number of I/O | 448 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 668-BBGA, FCBGA |
Supplier Device Package | 668-FCBGA (27×27) |
Applications
The XC4VLX60-10FFG668I 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 750 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 at speeds up to 2666 MHz, 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 XC4VLX60-10FFG668I 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 requiring robust performance.
Q2: What are the specific memory interfaces supported by the XC4VLX60-10FFG668I?
A2: The XC4VLX60-10FFG668I supports DDR4 memory interfaces with speeds up to 2666 MHz, which is beneficial for applications needing fast data access rates.
Q3: In which industries is the XC4VLX60-10FFG668I commonly utilized?
A3: Commonly used in sectors like telecommunications, automotive electronics, and aerospace, where high-speed processing and reliability are paramount.
Other people’s search terms
– High-performance computing solutions
– Artificial intelligence hardware components
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– Industrial-grade memory interface technology
– Energy-efficient processor architectures