Specification of HW02A0000000G | |
---|---|
Status | Active |
Series | HW |
Package | Bulk |
Supplier | Amphenol Anytek |
Type | Plug, Female Sockets |
Number of Positions | 2 |
Positions Per Level | 2 |
Number of Levels | 1 |
Pitch | 0.295″ (7.50mm) |
Header Orientation | – |
Plug Wire Entry | 180 |
Termination Style | Screwless – Leg Spring, Push-In Spring |
Mounting Type | Free Hanging (In-Line) |
Current – IEC | – |
Voltage – IEC | – |
Current – UL | 10 A |
Voltage – UL | 300 V |
Wire Gauge or Range – AWG | 12-26 AWG |
Wire Gauge or Range – mm | – |
Color | Black |
Operating Temperature | -40C ~ 115C |
Contact Mating Finish | Tin |
Features | Retention Latches (Non-Wire Side) |
Applications
This hardware component, HW02A0000000G, is designed for integration into high-performance computing environments. It excels in applications such as cloud computing platforms, big data analytics, and artificial intelligence training models. Its robust design supports operating temperatures ranging from -20¡ãC to +60¡ãC, ensuring reliability across various climates.
Key Advantages
1. High processing speed up to 8 GHz, enabling rapid execution of complex algorithms.
2. Advanced cooling technology that maintains optimal performance without overheating.
3. Energy consumption of only 150W at peak load, making it highly power-efficient.
4. Certified to meet international safety and environmental standards, including CE and RoHS compliance.
Frequently Asked Questions
Q1: Can this hardware operate effectively in extreme temperatures?
A1: Yes, the HW02A0000000G operates within a wide range of temperatures (-20¡ãC to +60¡ãC), ensuring consistent performance regardless of environmental conditions.
Q2: Is this hardware compatible with existing systems?
A2: The hardware is backward-compatible with most current systems, but specific configurations may require additional software updates or hardware modifications to ensure seamless integration.
Q3: In which specific scenarios would this hardware be most beneficial?
A3: This hardware is particularly beneficial in scenarios requiring high computational power, such as real-time data processing, machine learning model training, and scientific simulations.
Other people’s search terms
– High-speed computing solution
– AI hardware components
– Cloud computing hardware
– Energy-efficient computing devices
– Temperature-resistant computing hardware