Specification of VNN302501801JB | |
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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 VNN302501801JB 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 +70¡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 40% compared to similar models.
3. Energy consumption optimized at just 60W under maximum load, making it highly power-efficient.
4. Certified to meet international safety standards including CE, FCC, and RoHS.
FAQ
Q1: Can the VNN302501801JB operate effectively in extreme temperatures?
A1: Yes, its operating temperature range spans from -20¡ãC to +70¡ãC, ensuring reliable performance across various environments.
Q2: Is there any specific hardware requirement for optimal performance?
A2: The VNN302501801JB performs best when paired with high-bandwidth memory modules and advanced cooling solutions.
Q3: What development tools are recommended for working with this chip?
A3: We recommend using the latest version of our integrated development environment (IDE) along with the proprietary compiler suite for optimal performance tuning.
Other people’s search terms
– High-speed computing solution
– Precision computing chip
– AI training processor
– Scientific simulation hardware
– Energy-efficient computing module