| Specification of VNN302501001JB | |
|---|---|
| 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 VNN302501001JB is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks efficiently. Key applications include:
- Data Center Optimization: The chip supports up to 8TB of memory, making it ideal for managing massive datasets.
- Cloud Computing Services: Its robust architecture ensures reliable performance for cloud-based applications requiring high computational power.
- AI and Machine Learning: With its advanced processing capabilities, it is suitable for training complex AI models.
Operating Temperature: -20¡ãC to +70¡ãC
Key Advantages
1. **High Processing Speed:** Capable of delivering speeds up to 3.5 GHz.
2. **Energy Efficiency:** Designed with a low power consumption rate, consuming less than 100W under maximum load.
3. **Advanced Cooling System:** Equipped with a liquid cooling system that enhances heat dissipation.
4. **Certification Standards:** Meets international safety and reliability standards, ensuring consistent performance across various applications.
Frequently Asked Questions
Q1: What is the maximum speed at which the VNN302501001JB can operate?
A1: The VNN302501001JB operates at a maximum speed of 3.5 GHz.
Q2: Is the VNN302501001JB compatible with existing systems?
A2: Yes, it is backward-compatible with most existing systems but requires software updates to fully utilize its features.
Q3: In which specific scenarios would you recommend using the VNN302501001JB?
A3: The VNN302501001JB is recommended for scenarios involving large-scale data analysis, such as financial market trend analysis and scientific research projects.
Other people’s search terms
– High-speed computing solutions
– Energy-efficient processors
– Advanced AI hardware
– Cloud computing optimization
– Large-scale data processing chips