Specification of XC4VFX12-10SFG363I | |
---|---|
Status | Active |
Series | Virtex?-4 FX |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1368 |
Number of Logic Elements/Cells | 12312 |
Total RAM Bits | 663552 |
Number of I/O | 240 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 363-FBGA, FCBGA |
Supplier Device Package | 363-FCBGA (17×17) |
Applications
The XC4VFX12-10SFG363I is ideal for high-performance computing environments such as data centers and cloud computing platforms. It excels in applications requiring extensive parallel processing capabilities, such as machine learning algorithms, big data analytics, and scientific simulations.
In the automotive industry, it supports advanced driver assistance systems (ADAS) and autonomous driving features, enhancing safety and efficiency through complex sensor fusion and real-time decision-making processes.
For telecommunications, it plays a crucial role in network infrastructure, enabling faster data transmission rates and more efficient signal processing in 5G networks.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High-speed data processing at up to 1.2 GHz clock speed.
2. Advanced multi-core architecture supporting over 100 concurrent threads.
3. Energy-efficient design consuming less than 15W under maximum load.
4. Compliance with industry-standard certifications like ISO 9001 and CE Marking.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the XC4VFX12-10SFG363I?
A1: The XC4VFX12-10SFG363I supports a maximum clock speed of 1.2 GHz.
Q2: Can the XC4VFX12-10SFG363I be used in environments with extreme temperatures?
A2: Yes, it operates within a wide range of temperatures from -40°C to +85°C, making it suitable for various industrial settings.
Q3: In which specific scenarios would you recommend using the XC4VFX12-10SFG363I?
A3: This chip is recommended for scenarios involving high computational demands, such as AI training models, real-time video analysis, and high-frequency trading systems.
Other people’s search terms
– High-performance computing solutions
– Advanced driver assistance systems components
– 5G network infrastructure processors
– Multi-core processor technology
– Energy-efficient computing chips