Specification of XAA170STR | |
---|---|
Status | Active |
Series | XAA, OptoMOS? |
Package | Tape & Reel (TR),Cut Tape (CT),Digi-Reel? |
Supplier | IXYS Integrated Circuits Division |
Mounting Type | Surface Mount |
Circuit | SPST-NO (1 Form A) x 2 |
Output Type | AC, DC |
Voltage – Input | 1.2VDC |
Voltage – Load | 0 V ~ 350 V |
Load Current | 100 mA |
On-State Resistance (Max) | 50 Ohms |
Termination Style | Gull Wing |
Package / Case | 8-SMD (0.300″, 7.62mm) |
Supplier Device Package | 8-SMD |
Applications
The XAA170STR is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks such as machine learning algorithms, big data analytics, and scientific simulations. Its robust design supports continuous operation at temperatures ranging from -20¡ãC to +60¡ãC, ensuring reliability in various environmental conditions.
Key Advantages
1. High clock speed up to 3.8 GHz, providing superior computational performance.
2. Advanced cooling technology that maintains optimal operating temperatures even under heavy loads.
3. Energy-efficient design with a power consumption of only 95 watts, reducing operational costs.
4. Compliance with international safety and quality standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: Can the XAA170STR operate effectively in extreme temperatures?
A1: Yes, it can function within a wide range of temperatures (-20¡ãC to +60¡ãC), making it suitable for both indoor and outdoor deployments.
Q2: What is the maximum power consumption of the XAA170STR?
A2: The maximum power consumption of the XAA170STR is 95 watts, which is highly energy-efficient compared to similar products in its class.
Q3: In which specific scenarios would you recommend using the XAA170STR?
A3: The XAA170STR is ideal for applications requiring high computational power and energy efficiency, such as deep learning models, real-time data analysis, and complex simulation tasks.
Other people’s search terms
– High-performance computing solutions
– Energy-efficient processors
– Scalable data center components
– Machine learning hardware accelerators
– Cloud computing infrastructure optimization