Specification of VNQ600APTR-E | |
---|---|
Status | Obsolete |
Package | Tape & Reel (TR) |
Supplier | STMicroelectronics |
Switch Type | General Purpose |
Number of Outputs | 4 |
Ratio – Input:Output | 1:1 |
Output Configuration | High Side |
Output Type | N-Channel |
Interface | On/Off |
Voltage – Load | 5.5V ~ 36V |
Voltage – Supply (Vcc/Vdd) | Not Required |
Current – Output (Max) | 15A |
Rds On (Typ) | 35mOhm (Max) |
Input Type | Non-Inverting |
Features | – |
Fault Protection | Current Limiting (Fixed), Over Temperature, Over Voltage, UVLO |
Operating Temperature | -40C ~ 150C (TJ) |
Mounting Type | Surface Mount |
Supplier Device Package | 28-SO |
Package / Case | 28-SOIC (0.295″, 7.50mm Width) |
Applications
The VNQ600APTR-E is designed for high-performance computing environments, particularly in data centers and cloud computing services. It supports large-scale data processing tasks efficiently. Key applications include:
- Big Data Analytics: Handling massive datasets with high throughput.
- Machine Learning: Accelerating training models with its powerful computational capabilities.
- Scientific Computing: Supporting complex simulations and calculations.
Operating Temperature: -20°C to +70°C
Key Advantages
1. High Clock Speed: Up to 3.8 GHz, providing superior performance.
2. Advanced Cooling System: Ensures optimal thermal management even under heavy loads.
3. Eco-Friendly Design: Reduces energy consumption by up to 20% compared to similar products.
4. Industry Certifications: Includes certifications from leading industry bodies ensuring compliance and reliability.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the VNQ600APTR-E?
A1: The VNQ600APTR-E supports a maximum clock speed of 3.8 GHz.
Q2: Is the VNQ600APTR-E compatible with existing systems?
A2: Yes, it is backward compatible with most existing systems but requires specific drivers and configurations for optimal performance.
Q3: In which specific scenarios would you recommend using the VNQ600APTR-E?
A3: The VNQ600APTR-E is recommended for scenarios requiring high computational power such as real-time data analysis, deep learning model training, and high-frequency trading simulations.
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