Specification of VNN3025015R0JB | |
---|---|
Status | Active |
Package | Box |
Supplier | Vishay Sfernice |
Resistance | – |
Tolerance | – |
Power (Watts) | – |
Composition | – |
Temperature Coefficient | – |
Operating Temperature | – |
Features | – |
Coating, Housing Type | – |
Mounting Feature | – |
Size / Dimension | – |
Height – Seated (Max) | – |
Lead Style | – |
Package / Case | – |
Failure Rate | – |
Applications
The VNN3025015R0JB 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 operation within a wide range of temperatures from -20¡ãC to +85¡ãC.
Key Advantages
1. High clock speed up to 3.5 GHz ensures rapid processing capabilities.
2. Advanced cooling technology reduces thermal stress by up to 20% compared to similar models.
3. Energy consumption optimized at just 60W under maximum load, making it highly power-efficient.
4. Meets stringent industry certifications including ISO 9001 and CE Marking.
FAQ
Q1: Can the VNN3025015R0JB operate effectively in extreme temperatures?
A1: Yes, its operating temperature range spans from -20¡ãC to +85¡ãC, ensuring reliable performance across various environments.
Q2: What other components can I pair with the VNN3025015R0JB for optimal system performance?
A2: For optimal performance, consider pairing it with high-speed memory modules and advanced cooling solutions that match its energy efficiency requirements.
Q3: Are there specific development tools recommended for working with the VNN3025015R0JB?
A3: We recommend using the latest version of our integrated development environment (IDE) which includes comprehensive support for this model, along with our proprietary debugging tools.
Other people’s search terms
– High-performance computing solution
– Precision computing module
– Scientific simulation hardware
– Financial modeling processor
– AI training accelerator chip