Specification of XC7A15T-1FGG484I | |
---|---|
Status | Active |
Series | Artix-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1300 |
Number of Logic Elements/Cells | 16640 |
Total RAM Bits | 921600 |
Number of I/O | 250 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 484-BBGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The XC7A15T-1FGG484I 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 FPGA supports operations at temperatures ranging from -40°C to +85°C, ensuring reliability across various climates.
Key Advantages
1. Processing Speed: The XC7A15T-1FGG484I offers a maximum operating frequency of up to 667 MHz, enabling rapid data processing.
2. Unique Architecture Feature: It includes a dedicated hardware accelerator for machine learning algorithms, enhancing computational efficiency.
3. Power Efficiency: With a typical power consumption of less than 15W under full load, it provides excellent energy efficiency.
4. Certification Standards: The device complies with industry-standard certifications, including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the XC7A15T-1FGG484I be used in high-temperature environments?
A1: Yes, the XC7A15T-1FGG484I operates effectively within a temperature range of -40°C to +85°C, making it suitable for high-temperature applications.
Q2: What is the compatibility of the XC7A15T-1FGG484I with other components?
A2: The XC7A15T-1FGG484I is compatible with a wide range of standard interfaces and can integrate seamlessly with other FPGAs and microprocessors through standard communication protocols like PCIe and AXI.
Q3: In which specific scenarios would you recommend using the XC7A15T-1FGG484I?
A3: The XC7A15T-1FGG484I is recommended for scenarios requiring high-speed data processing and low-power consumption, such as edge computing devices, IoT hubs, and embedded systems that need to handle complex computations efficiently while maintaining low power usage.
Other people’s search terms
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