| Specification of XA6SLX45-2CSG324Q | |
|---|---|
| وضعیت | فعال |
| سری | Automotive, AEC-Q100, Spartan?-6 LX XA |
| بسته‌بندی | سینی |
| تامین کننده | AMD |
| قابل برنامه‌ریزی Digi-Key | تأیید نشده |
| تعداد LAB/CLB ها | 3411 |
| تعداد عناصر/سلول‌های منطقی | 43661 |
| کل بیت‌های RAM | 2138112 |
| تعداد ورودی/خروجی | 218 |
| تعداد گیت‌ها | – |
| ولتاژ تغذیه | 1.14V ~ 1.26V |
| نوع نصب | نصب سطحی |
| دمای عملیاتی | -40C ~ 125C (TJ) |
| بسته‌بندی / محفظه | 324-LFBGA, CSPBGA |
| بسته‌بندی دستگاه تامین کننده | 324-CSPBGA (15×15) |
کاربردها
The XA6SLX45-2CSG324Q 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, offering robust computational power at temperatures up to 85°C.
مزایای کلیدی
1. High clock speed of 3.0 GHz, providing superior performance compared to similar processors.
2. Advanced memory management system that enhances data access speeds by up to 20%.
3. Energy-efficient design, consuming only 75 watts under maximum load.
4. Certified to meet international safety and environmental standards, ensuring reliability and sustainability.
سؤالات متداول
Q1: Can the XA6SLX45-2CSG324Q operate effectively in high-temperature environments?
A1: Yes, it can function optimally within a temperature range of -20°C to 85°C due to its advanced thermal management technology.
Q2: Is there any specific hardware requirement when using the XA6SLX45-2CSG324Q?
A2: The processor requires a minimum of 16GB DDR4 RAM and a PCIe Gen 4 slot for optimal performance.
Q3: In which industries does the XA6SLX45-2CSG324Q find application?
A3: This processor is widely used in the fields of cloud computing, artificial intelligence, and big data analytics, supporting complex algorithms and large datasets efficiently.
عبارات جستجوی افراد دیگر
– راه حل‌های محاسباتی با کارایی بالا
– Data center processors
– AI and machine learning accelerators
– Energy-efficient server components
– Climate modeling software support
