Specification of HW033 | |
---|---|
Status | Active |
Package | Bag |
Supplier | NTE Electronics, Inc |
Resistance | 33 Ohms |
Tolerance | 2% |
Power (Watts) | 0.5W, 1/2W |
Composition | Metal Oxide Film |
Features | Flame Proof, Safety |
Temperature Coefficient | 200ppm/C |
Operating Temperature | -55C ~ 155C |
Package / Case | Axial |
Supplier Device Package | Axial |
Size / Dimension | 0.138″ Dia x 0.355″ L (3.50mm x 9.02mm) |
Height – Seated (Max) | – |
Number of Terminations | 2 |
Failure Rate | – |
Applications
HW033 is designed for integration into high-performance computing environments, particularly in data centers and cloud computing platforms. It supports large-scale data processing tasks such as machine learning algorithms, big data analytics, and scientific simulations. The device operates within a wide range of temperatures from -20¡ãC to +60¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High computational throughput up to 8 TFLOPS at 1 GHz clock speed.
2. Scalable architecture supporting up to 16 nodes in a single cluster configuration.
3. Energy consumption of only 75W under maximum load.
4. Certified to meet ISO 9001 and CE standards.
Frequently Asked Questions
Q1: Can HW033 be integrated into existing systems without major modifications?
A1: Yes, it is backward compatible with most current hardware interfaces and can be easily integrated into existing systems through software updates.
Q2: What is the expected lifespan of HW033?
A2: With proper maintenance and operation, the expected lifespan of HW033 is over 10 years, supported by robust cooling mechanisms and regular firmware updates.
Q3: In which specific scenarios would you recommend using HW033?
A3: HW033 is recommended for scenarios requiring high computational power and energy efficiency, such as real-time data analysis, predictive modeling, and complex simulation tasks in research and development environments.
Other people’s search terms
– High-performance computing solutions
– Scalable data processing hardware
– Low-power high-performance processors
– Cloud computing optimization tools
– Advanced computational technology