Specification of XC7VX690T-2FFG1158C | |
---|---|
Status | Active |
Series | Virtex?-7 XT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 54150 |
Number of Logic Elements/Cells | 693120 |
Total RAM Bits | 54190080 |
Number of I/O | 350 |
Number of Gates | – |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1158-FCBGA (35×35) |
Applications
The XC7VX690T-2FFG1158C is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in fields such as artificial intelligence, machine learning, and big data analytics, offering fast execution speeds and efficient resource utilization.
In the automotive industry, it supports advanced driver assistance systems (ADAS) and autonomous driving features, enhancing safety and performance through real-time data processing.
For telecommunications, it enables faster network processing and improved signal quality, crucial for modern communication infrastructure.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High Processing Speed: The XC7VX690T-2FFG1158C can handle complex computations at speeds up to 1.2 GHz.
2. Scalable Architecture: Its modular design allows for easy expansion and customization according to specific needs.
3. Low Power Consumption: Designed with energy-efficient components, it reduces operational costs significantly.
4. Industry Certifications: Meets stringent industry standards for reliability and performance.
Frequently Asked Questions
Q1: Can the XC7VX690T-2FFG1158C be integrated into existing systems?
A1: Yes, it is backward compatible with most standard interfaces, making integration straightforward.
Q2: What is the maximum memory capacity supported by this chip?
A2: It supports up to 16 GB of DDR4 memory, providing ample storage space for large datasets.
Q3: In which specific scenarios would you recommend using this XC7VX690T-2FFG1158C?
A3: This chip is recommended for applications requiring high computational power and low latency, such as real-time data analysis and AI-driven decision-making processes.
Other people’s search terms
– High-speed processing solutions
– Advanced AI processors
– Efficient computing platforms
– Automotive ADAS processors
– Telecom network optimization tools