Specification of XC6SLX100T-2FGG900I | |
---|---|
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 | 498 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 900-BBGA |
Supplier Device Package | 900-FBGA (31×31) |
Applications
The XC6SLX100T-2FGG900I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It supports applications requiring high computational power like machine learning models, big data processing, and scientific simulations. This device operates within a wide temperature range from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. High clock speed up to 750 MHz, providing superior performance for complex tasks.
2. Advanced memory interface supporting DDR4 at speeds up to 2666 MT/s, enhancing data throughput.
3. Energy-efficient design with a typical power consumption of 15W, reducing operational costs.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: Can the XC6SLX100T-2FGG900I be used in extreme temperatures?
A1: Yes, it can operate effectively between -40°C and +85°C, ensuring reliability in diverse environments.
Q2: What is the maximum supported memory bandwidth?
A2: The XC6SLX100T-2FGG900I supports DDR4 memory with a maximum bandwidth of 2666 MT/s, optimizing data transfer rates.
Q3: In which specific scenarios would this XC6SLX100T-2FGG900I be most beneficial?
A3: This device excels in scenarios requiring high-speed data processing and intensive computational tasks, such as deep learning model training and large-scale data analysis projects.
Other people’s search terms
– High-performance computing solutions
– DDR4 memory support
– Energy-efficient FPGA
– Industrial-grade temperature operation
– Machine learning acceleration