Specification of VNQ7E100AJTR | |
---|---|
Status | Active |
Series | Automotive, AEC-Q100, VIPOWER? |
Package | Tape & Reel (TR),Cut Tape (CT),Digi-Reel? |
Supplier | STMicroelectronics |
Switch Type | General Purpose |
Number of Outputs | 4 |
Ratio – Input:Output | 1:1 |
Output Configuration | High Side |
Output Type | N-Channel |
Interface | – |
Voltage – Load | 4V ~ 28V |
Voltage – Supply (Vcc/Vdd) | – |
Current – Output (Max) | 7.5A |
Rds On (Typ) | 100mOhm |
Input Type | Non-Inverting |
Features | Auto Restart, Status Flag |
Fault Protection | Current Limiting (Fixed), Open Load Detect, Over Temperature, Over Voltage, Short Circuit, UVLO |
Operating Temperature | -40C ~ 150C (TJ) |
Mounting Type | Surface Mount |
Supplier Device Package | PowerSSO-16 |
Package / Case | 16-PowerLFSOP (0.154″, 3.90mm Width) |
Applications
The VNQ7E100AJTR is ideal for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks efficiently. Additionally, it is suitable for industrial automation systems that require robust performance under varying conditions.
Operating Temperature: -20°C to +85°C
Key Advantages
1. High clock speed up to 3.6 GHz
2. Advanced cache technology enhancing data retrieval speed
3. Energy-efficient design reducing operational costs
4. Compliance with multiple international safety and environmental standards
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the VNQ7E100AJTR?
A1: The VNQ7E100AJTR operates within a temperature range from -20°C to +85°C, ensuring reliable performance across various environments.
Q2: Can the VNQ7E100AJTR be used in conjunction with other components to enhance its capabilities?
A2: Yes, the VNQ7E100AJTR can be integrated with various peripheral devices and software solutions to expand its functionality and improve overall system performance.
Q3: In which specific scenarios would the VNQ7E100AJTR be most beneficial?
A3: The VNQ7E100AJTR is particularly beneficial in scenarios requiring high computational power such as machine learning algorithms, big data analytics, and complex simulation models.
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