Specification of VNQ690SPTR-E | |
---|---|
Status | Obsolete |
Series | 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 | On/Off |
Voltage – Load | 6V ~ 36V |
Voltage – Supply (Vcc/Vdd) | Not Required |
Current – Output (Max) | 10A |
Rds On (Typ) | 90mOhm (Max) |
Input Type | Non-Inverting |
Features | Status Flag |
Fault Protection | Current Limiting (Fixed), Open Load Detect, Over Temperature, Over Voltage |
Operating Temperature | -40C ~ 150C (TJ) |
Mounting Type | Surface Mount |
Supplier Device Package | 10-PowerSO |
Package / Case | 10-PowerSOIC (0.370″, 9.40mm Width) |
Applications
The VNQ690SPTR-E is designed for high-performance computing applications where precision and reliability are paramount. It excels in scientific simulations, financial modeling, and artificial intelligence training. Its robust design supports continuous operation at temperatures ranging from -40¡ãC to +85¡ãC.
Key Advantages
1. High clock speed up to 3.5 GHz, providing superior computational performance.
2. Advanced cooling technology ensures efficient heat dissipation even under heavy loads.
3. Energy-efficient design reduces power consumption by up to 20% compared to similar models.
4. Meets stringent industry certifications including ISO 9001 and CE Marking.
FAQ
Q1: Can the VNQ690SPTR-E operate effectively in extreme temperatures?
A1: Yes, it maintains optimal performance within its operational temperature range of -40¡ãC to +85¡ãC.
Q2: Is there any specific hardware requirement for this component?
A2: The VNQ690SPTR-E requires a compatible motherboard that supports DDR4 memory and has sufficient PCIe slots for expansion cards.
Q3: What development tools are recommended for programming this device?
A3: We recommend using Visual Studio Code along with the latest drivers provided by the manufacturer for seamless integration and debugging.
Other people’s search terms
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– AI training optimization chip