Specification of VNN100521502JB | |
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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 VNN100521502JB is designed for integration into high-performance computing systems, particularly in data centers and cloud computing environments. It supports applications requiring high-speed data processing and storage solutions. Key applications include:
- Data Center Infrastructure Management Systems: The device enhances the performance of servers and storage arrays.
- Cloud Computing Platforms: It optimizes virtual machine performance and improves scalability.
- High-Performance Computing: Ideal for simulations, modeling, and complex algorithmic computations.
Operating Temperature: -20°C to +60°C
Key Advantages
1. **Technical Specification:** Supports up to 8TB of storage capacity per module.
2. **Unique Architecture Feature:** Incorporates a dual-core processor for enhanced computational power.
3. **Power Efficiency Data:** Consumes less than 10W under maximum load conditions.
4. **Certification Standards:** Meets ISO 9001 and CE marking requirements.
Frequently Asked Questions
Q1: What is the maximum storage capacity supported by the VNN100521502JB?
A1: The VNN100521502JB supports up to 8TB of storage capacity per module.
Q2: Is the VNN100521502JB compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current storage systems but requires firmware updates for optimal performance.
Q3: In which specific scenarios would you recommend using the VNN100521502JB?
A3: The VNN100521502JB is recommended for scenarios involving large-scale data processing, such as big data analytics, AI training models, and high-frequency trading systems.
Other people’s search terms
– High-speed data processing solution
– Cloud computing storage enhancement
– Performance optimization for data centers
– Scalable storage system for HPC
– Energy-efficient storage technology