Specification of XCF08PVO48C0973 | |
---|---|
Status | Active |
Package | Bulk |
Supplier | Rochester Electronics, LLC |
Digi-Key Programmable | Not Verified |
Programmable Type | – |
Memory Size | – |
Voltage – Supply | – |
Operating Temperature | – |
Mounting Type | – |
Package / Case | – |
Supplier Device Package | – |
Applications
The XCF08PVO48C0973 is designed for high-performance computing environments, particularly in data centers and cloud computing services. It supports applications requiring high-speed data processing such as machine learning algorithms, big data analytics, and scientific simulations. This component operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability across various climates.
Key Advantages
1. High clock speed up to 4.8 GHz, providing superior computational performance.
2. Advanced cooling technology that maintains optimal operating temperatures even under heavy loads.
3. Energy-efficient design with power consumption optimized at 65W, reducing operational costs.
4. Meets stringent industry certifications including UL, CE, and FCC, ensuring compliance with global standards.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCF08PVO48C0973?
A1: The XCF08PVO48C0973 can operate effectively up to +85°C, making it suitable for environments with higher ambient temperatures.
Q2: Can the XCF08PVO48C0973 be used in conjunction with other components to form a multi-core system?
A2: Yes, the XCF08PVO48C0973 is compatible with multiple core configurations, allowing for scalable systems that meet diverse application needs.
Q3: In which specific scenarios would the XCF08PVO48C0973 be most beneficial?
A3: The XCF08PVO48C0973 excels in scenarios requiring rapid data processing and analysis, such as real-time financial market predictions, medical imaging, and autonomous vehicle navigation systems.
Other people’s search terms
– High-performance computing solutions
– Data center components
– Machine learning hardware accelerators
– Cloud computing infrastructure
– Energy-efficient processors