Specification of XCF32PFS48C | |
---|---|
Status | Obsolete |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Programmable Type | In System Programmable |
Memory Size | 32Mb |
Voltage – Supply | 1.65V ~ 2V |
Operating Temperature | -40C ~ 85C |
Mounting Type | Surface Mount |
Package / Case | 48-TFBGA, CSPBGA |
Supplier Device Package | 48-CSP (8×9) |
Applications
The XCF32PFS48C is ideal for high-performance computing environments such as data centers and cloud servers due to its robust processing capabilities. It also excels in automotive applications, particularly in advanced driver assistance systems (ADAS) where it can handle complex sensor fusion tasks efficiently. Additionally, it finds application in industrial automation, supporting real-time control systems that require high precision and reliability.
Key Advantages
1. The XCF32PFS48C operates within a wide temperature range from -40¡ãC to +85¡ãC, ensuring reliable performance across various environmental conditions.
2. Its unique architecture includes a dedicated neural network processor, which significantly accelerates machine learning algorithms and deep learning models.
3. The power consumption of the XCF32PFS48C is less than 10W at full load, making it highly energy-efficient compared to similar processors.
4. The chip has been certified to meet international safety standards including ISO 26262 for automotive applications and IEC 61000-6-2 for electromagnetic compatibility.
Frequently Asked Questions
Q1: Can the XCF32PFS48C be used in outdoor applications?
A1: Yes, the XCF32PFS48C is designed to operate effectively in temperatures ranging from -40¡ãC to +85¡ãC, making it suitable for outdoor applications.
Q2: Is the XCF32PFS48C compatible with existing hardware?
A2: The XCF32PFS48C is backward-compatible with most standard interfaces and can integrate seamlessly into existing systems without requiring significant modifications.
Q3: In which specific scenarios would you recommend using the XCF32PFS48C?
A3: The XCF32PFS48C is recommended for scenarios requiring high computational power and low latency, such as real-time video analysis in surveillance systems, predictive maintenance in industrial settings, and autonomous vehicle navigation systems.
Other people’s search terms
– High-performance computing solutions
– Automotive-grade AI processors
– Energy-efficient neural network processors
– Industrial automation processors
– Advanced driver assistance system components