Specification of XC6VLX130T-2FFG1156C | |
---|---|
Status | Active |
Series | Virtex?-6 LXT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 10000 |
Number of Logic Elements/Cells | 128000 |
Total RAM Bits | 9732096 |
Number of I/O | 600 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Applications
The XC6VLX130T-2FFG1156C 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°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. The XC6VLX130T-2FFG1156C features a 7nm process technology that significantly reduces power consumption while maintaining high performance.
2. Its unique architecture includes a high-speed interconnect that enhances data transfer rates between different components.
3. The power efficiency of this chip is measured at 1.5W per gigaflop, demonstrating exceptional energy management.
4. The XC6VLX130T-2FFG1156C has been certified to meet stringent industry standards including ISO 9001 and UL 60950-1.
Frequently Asked Questions
Q1: Can the XC6VLX130T-2FFG1156C be used in low-power environments?
A1: Yes, its power efficiency allows it to operate effectively even in low-power modes without compromising performance.
Q2: Is there any specific hardware requirement when using this chip?
A2: The chip requires a compatible motherboard with appropriate power supply and cooling solutions to ensure optimal performance.
Q3: In which specific scenarios would you recommend using this XC6VLX130T-2FFG1156C?
A3: This chip is recommended for scenarios requiring high computational power and low latency, such as real-time data processing and machine learning model training.
Other people’s search terms
– High-performance computing solution
– AI training optimization
– Cloud computing acceleration
– Energy-efficient processor
– Industrial-grade computing module