Specification of XC7VH870T-2FLG1932C | |
---|---|
Status | Obsolete |
Series | Virtex?-7 HT |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 68450 |
Number of Logic Elements/Cells | 876160 |
Total RAM Bits | 51978240 |
Number of I/O | 300 |
Number of Gates | – |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | – |
Supplier Device Package | 1932-FCBGA (45×45) |
Applications
The XC7VH870T-2FLG1932C is ideal for high-performance computing tasks such as machine learning inference, deep learning training, and big data processing. It excels in applications requiring high computational power within the constraints of a single FPGA device. This includes AI-driven applications in autonomous vehicles, medical imaging analysis, and financial market prediction models.
Key Advantages
1. Operating Temperature Range: -40¡ãC to +85¡ãC
2. Unique Architecture Feature: Integration of ARM Cortex-A53 Processor Cores
3. Power Efficiency: 1.5W at 1GHz clock speed
4. Certification Standards:·ûºÏISO 26262 Automotive Safety Standard
Frequently Asked Questions
Q1: Can the XC7VH870T-2FLG1932C be used in environments with extreme temperatures?
A1: Yes, it operates effectively within a wide range of temperatures from -40¡ãC to +85¡ãC, making it suitable for various industrial and automotive applications.
Q2: Is there any specific hardware requirement when interfacing with the XC7VH870T-2FLG1932C?
A2: The XC7VH870T-2FLG1932C requires standard I/O interfaces compatible with its pinout specifications. It supports multiple communication protocols like PCIe, DDR4, and AXI, which need to be properly configured during integration.
Q3: In what specific scenarios would you recommend using the XC7VH870T-2FLG1932C?
A3: The XC7VH870T-2FLG1932C is recommended for scenarios that require high computational performance and low latency, such as real-time signal processing in telecommunications, high-frequency trading systems, and advanced robotics applications.
Other people’s search terms
– High Performance Computing FPGA
– Machine Learning FPGA
– Deep Learning FPGA
– Automotive Safety Certified FPGA
– Industrial Grade FPGA