Specification of XC6SLX75T-2FGG676C | |
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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 | 348 |
تعداد گیتها | – |
ولتاژ تغذیه | 1.14V ~ 1.26V |
نوع نصب | نصب سطحی |
دمای عملیاتی | 0C ~ 85C (TJ) |
بستهبندی / محفظه | 676-BGA |
بستهبندی دستگاه تامین کننده | 676-FBGA (27×27) |
کاربردها
The XC6SLX75T-2FGG676C 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 certification standards including CE, FCC, and RoHS compliance.
سؤالات متداول
Q1: Can the XC6SLX75T-2FGG676C 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 are the compatibility requirements for this device?
A2: The XC6SLX75T-2FGG676C is compatible with a wide range of operating systems and software platforms, including Linux, Windows, and various AI frameworks like TensorFlow and PyTorch.
Q3: In which specific scenarios would you recommend using this XC6SLX75T-2FGG676C?
A3: This device is recommended for scenarios requiring high-speed data processing, such as real-time video analysis, large-scale machine learning models, and high-frequency trading systems.
عبارات جستجوی افراد دیگر
– راه حلهای محاسباتی با کارایی بالا
– Artificial intelligence hardware accelerators
– Cloud computing infrastructure components
– Industrial-grade computing devices
– Energy-efficient computing modules