Specification of XC7A100T-2FGG484C | |
---|---|
Status | Active |
Series | Artix-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 7925 |
Number of Logic Elements/Cells | 101440 |
Total RAM Bits | 4976640 |
Number of I/O | 285 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 484-BBGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The XC7A100T-2FGG484C is widely used in high-performance computing environments due to its robust capabilities. It excels in applications such as data centers, cloud computing services, and advanced scientific research projects. This FPGA is also suitable for embedded systems requiring high processing power and flexibility.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High Processing Speed: The XC7A100T supports up to 600 MHz, making it ideal for tasks that require rapid data processing.
2. Advanced Architecture: Equipped with a powerful 32-bit ARM Cortex-A9 processor, enhancing overall system performance.
3. Low Power Consumption: Designed with energy-efficient features, reducing operational costs significantly.
4. Industry Certifications: Meets stringent industry standards including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the XC7A100T-2FGG484C be used in extreme temperatures?
A1: Yes, it operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability in various environmental conditions.
Q2: Is there any specific software required for programming this FPGA?
A2: No special software is needed; standard tools like Vivado Design Suite can be utilized for efficient design and development.
Q3: In which specific scenarios would you recommend using this XC7A100T-2FGG484C?
A3: This FPGA is recommended for scenarios involving complex signal processing, large-scale data analysis, and real-time control systems.
Other people’s search terms
– High-speed FPGA solutions
– Advanced embedded systems
– Cloud computing hardware
– Scientific computing accelerators
– Energy-efficient FPGAs