Specification of XC6SLX100T-2FGG484I | |
---|---|
Status | Active |
Series | Spartan?-6 LXT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 7911 |
Number of Logic Elements/Cells | 101261 |
Total RAM Bits | 4939776 |
Number of I/O | 296 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 484-BBGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The XC6SLX100T-2FGG484I is ideal for high-performance computing environments such as data centers and cloud computing platforms. It excels in applications requiring high-speed processing, such as machine learning algorithms, big data analytics, and scientific simulations. This device operates within a wide range of temperatures from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. The XC6SLX100T-2FGG484I features a 7nm process technology that significantly reduces power consumption while maintaining high performance.
2. Its unique architecture includes advanced parallel processing capabilities, enabling faster execution of complex tasks.
3. The power efficiency of this chip is measured at 0.9W/MHz, showcasing its capability to handle demanding workloads without excessive energy usage.
4. The XC6SLX100T-2FGG484I has been certified to meet stringent industry standards including ISO 9001 and UL 60950-1, ensuring reliability and safety.
Frequently Asked Questions
Q1: Can the XC6SLX100T-2FGG484I be used in environments with extreme temperatures?
A1: Yes, the device is designed to operate effectively between -40°C and +85°C, making it suitable for both cold and hot climates.
Q2: What is the maximum speed at which the XC6SLX100T-2FGG484I can run?
A2: The XC6SLX100T-2FGG484I supports speeds up to 1GHz, providing robust performance for high-speed computing tasks.
Q3: In which specific scenarios would you recommend using the XC6SLX100T-2FGG484I?
A3: The XC6SLX100T-2FGG484I is recommended for scenarios involving large-scale data processing, real-time analysis, and high-frequency trading systems due to its superior performance and low power consumption.
Other people’s search terms
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– Machine learning hardware accelerators