| Specification of XC6VCX75T-2FFG784I | |
|---|---|
| وضعیت | فعال |
| سری | Virtex?-6 CXT |
| بسته‌بندی | سینی |
| تامین کننده | AMD |
| قابل برنامه‌ریزی Digi-Key | تأیید نشده |
| تعداد LAB/CLB ها | 5820 |
| تعداد عناصر/سلول‌های منطقی | 74496 |
| کل بیت‌های RAM | 5750784 |
| تعداد ورودی/خروجی | 360 |
| تعداد گیت‌ها | – |
| ولتاژ تغذیه | 0.95V ~ 1.05V |
| نوع نصب | نصب سطحی |
| دمای عملیاتی | -40C ~ 100C (TJ) |
| بسته‌بندی / محفظه | 784-BBGA, FCBGA |
| بسته‌بندی دستگاه تامین کننده | 784-FCBGA (29×29) |
کاربردها
The XC6VCX75T-2FFG784I 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 600 MHz, providing superior computational performance.
2. Advanced parallel processing architecture that enhances data throughput.
3. Low power consumption, reducing operational costs significantly.
4. Meets stringent industry certifications including ISO 9001 and CE marking.
سؤالات متداول
Q1: Can the XC6VCX75T-2FFG784I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40¡ãC and +85¡ãC, making it suitable for industrial settings requiring robust performance at extreme temperatures.
Q2: What are the compatibility requirements for the XC6VCX75T-2FFG784I?
A2: The XC6VCX75T-2FFG784I 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 the XC6VCX75T-2FFG784I?
A3: This device is recommended for scenarios involving large-scale data processing, machine learning model training, and real-time analytics where high performance and low latency are critical.
عبارات جستجوی افراد دیگر
– راه حل‌های محاسباتی با کارایی بالا
– AI training accelerators
– Cloud computing hardware
– Industrial-grade computing devices
– Energy-efficient processors
