Specification of XA6SLX45-2FGG484Q | |
---|---|
Status | Active |
Series | Automotive, AEC-Q100, Spartan?-6 LX XA |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 3411 |
Number of Logic Elements/Cells | 43661 |
Total RAM Bits | 2138112 |
Number of I/O | 316 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 125C (TJ) |
Package / Case | 484-BBGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The XA6SLX45-2FGG484Q is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in scientific research applications such as climate modeling and genomics analysis, handling complex datasets efficiently within its operating temperature range of -20°C to +70°C.
Key Advantages
1. High clock speed up to 3.5 GHz, enhancing computational throughput significantly.
2. Advanced memory management system that optimizes data access patterns for faster performance.
3. Energy-efficient design with power consumption optimized at 15W under typical workloads.
4. Complies with international safety and environmental standards including CE, RoHS, and EPEAT.
Frequently Asked Questions
Q1: Can the XA6SLX45-2FGG484Q handle high-frequency data streams?
A1: Yes, it supports data rates up to 10 Gbps, making it suitable for high-speed network applications.
Q2: Is there any specific hardware requirement when using this processor?
A2: The processor requires a minimum of 16GB DDR4 RAM and a PCIe Gen3 interface for optimal performance.
Q3: In which industries can I find applications for this processor?
A3: Applications include cloud computing services, financial trading systems, and advanced robotics, where high-speed processing and energy efficiency are critical.
Other people’s search terms
– High-performance computing solutions
– Data center processors
– Scientific computing accelerators
– Energy-efficient processor technology
– Scalable computing platforms