Specification of XC7SH08GV,125 | |
---|---|
Status | Active |
Series | 7SH |
Package | Tape & Reel (TR),Cut Tape (CT),Digi-Reel? |
Supplier | Nexperia USA Inc. |
Logic Type | AND Gate |
Number of Circuits | 1 |
Number of Inputs | 2 |
Features | – |
Voltage – Supply | 2V ~ 5.5V |
Current – Quiescent (Max) | 1 A |
Current – Output High, Low | 8mA, 8mA |
Input Logic Level – Low | 0.5V ~ 1.65V |
Input Logic Level – High | 1.5V ~ 3.85V |
Max Propagation Delay @ V, Max CL | 7.9ns @ 5V, 50pF |
Operating Temperature | -40C ~ 125C |
Mounting Type | Surface Mount |
Supplier Device Package | SC-74A |
Package / Case | SC-74A, SOT-753 |
Applications
The XC7SH08GV,125 is ideal for high-performance computing tasks such as machine learning inference, deep learning training, and big data analytics. It excels in industries like finance, healthcare, and automotive, where real-time processing and high computational power are critical. Operating at temperatures ranging from -40¡ãC to +85¡ãC ensures reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 600 MHz, providing superior performance for complex algorithms.
2. Advanced memory interface supporting DDR4 RAM for faster data transfer rates.
3. Energy-efficient design with low power consumption per gigaflop, reducing operational costs.
4. Compliance with industry-standard certifications ensuring interoperability and security.
Frequently Asked Questions
Q1: Can the XC7SH08GV,125 handle complex neural network models?
A1: Yes, its high clock speed and extensive memory support make it suitable for running large-scale neural networks efficiently.
Q2: Is the XC7SH08GV,125 compatible with existing hardware?
A2: The XC7SH08GV,125 is backward-compatible with previous generations, allowing seamless integration into existing systems without major redesigns.
Q3: In which specific scenarios would you recommend using the XC7SH08GV,125?
A3: This chip is recommended for applications requiring high-speed data processing, such as real-time image recognition in autonomous vehicles or predictive analytics in financial markets.
Other people’s search terms
– High-performance computing solutions
– Machine learning acceleration
– Deep learning training optimization
– Big data analytics performance enhancement
– Automotive AI processing capabilities