Specification of XC7K410T-3FFG900E | |
---|---|
Status | Active |
Series | Kintex?-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 31775 |
Number of Logic Elements/Cells | 406720 |
Total RAM Bits | 29306880 |
Number of I/O | 500 |
Number of Gates | – |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 900-BBGA, FCBGA |
Supplier Device Package | 900-FCBGA (31×31) |
Applications
The XC7K410T-3FFG900E is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in fields such as artificial intelligence, machine learning, and big data analytics. This FPGA can handle complex algorithms efficiently, making it suitable for applications requiring high computational power within the temperature range of -40°C to +85°C.
Key Advantages
1. High Processing Speed: The XC7K410T supports up to 600 MHz, providing exceptional performance for demanding tasks.
2. Advanced Architecture: Equipped with a powerful processing engine that enhances data throughput and reduces latency.
3. Energy Efficiency: Designed to consume less power while maintaining high performance, making it energy-efficient compared to traditional processors.
4. Industry Certifications: Meets stringent industry standards for reliability and quality, ensuring compliance with international regulations.
Frequently Asked Questions
Q1: Can the XC7K410T-3FFG900E be used in low-power applications?
A1: Yes, despite its high processing speed, the XC7K410T offers excellent power efficiency, making it suitable for low-power applications when optimized correctly.
Q2: Is the XC7K410T compatible with existing systems?
A2: The XC7K410T is backward-compatible with previous models, allowing seamless integration into existing systems without major modifications.
Q3: In which specific scenarios would you recommend using the XC7K410T-3FFG900E?
A3: The XC7K410T is recommended for scenarios involving real-time data processing, AI inference, and high-speed network communications where high performance and low latency are critical.
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