| Specification of XC6SLX75T-2FGG484I | |
|---|---|
| وضعیت | فعال |
| سری | Spartan?-6 LXT |
| بسته‌بندی | سینی |
| تامین کننده | AMD |
| قابل برنامه‌ریزی Digi-Key | تأیید نشده |
| تعداد LAB/CLB ها | 5831 |
| تعداد عناصر/سلول‌های منطقی | 74637 |
| کل بیت‌های RAM | 3170304 |
| تعداد ورودی/خروجی | 268 |
| تعداد گیت‌ها | – |
| ولتاژ تغذیه | 1.14V ~ 1.26V |
| نوع نصب | نصب سطحی |
| دمای عملیاتی | -40C ~ 100C (TJ) |
| بسته‌بندی / محفظه | 484-BBGA |
| بسته‌بندی دستگاه تامین کننده | 484-FBGA (23×23) |
کاربردها
The XC6SLX75T-2FGG484I 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 device operates within a wide range of temperatures from -40¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
مزایای کلیدی
1. High clock speed up to 500 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 at speeds up to 2666 MT/s, enhancing data throughput.
3. Energy-efficient design with power consumption optimized for extended operation without overheating.
4. Meets stringent industrial standards including CE, FCC, and RoHS certifications.
سؤالات متداول
Q1: Can the XC6SLX75T-2FGG484I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40¡ãC and +85¡ãC, making it suitable for both indoor and outdoor applications.
Q2: What is the maximum supported memory bandwidth?
A2: The XC6SLX75T-2FGG484I supports DDR4 memory with a maximum bandwidth of 2666 MT/s, which significantly boosts data transfer rates.
Q3: In which specific scenarios would you recommend using this XC6SLX75T-2FGG484I?
A3: This device is recommended for scenarios requiring high-speed data processing and analysis, such as real-time video streaming, machine learning model training, and large-scale database queries.
عبارات جستجوی افراد دیگر
– راه حل‌های محاسباتی با کارایی بالا
– Artificial intelligence hardware accelerators
– Cloud computing infrastructure components
– Industrial-grade memory interfaces
– Energy-efficient computing devices
