Specification of XAAU10P-L1FFVB676I | |
---|---|
Status | Active |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | – |
Number of LABs/CLBs | – |
Number of Logic Elements/Cells | – |
Total RAM Bits | – |
Number of I/O | – |
Number of Gates | – |
Voltage – Supply | – |
Mounting Type | – |
Operating Temperature | – |
Package / Case | – |
Supplier Device Package | – |
Applications
The XAAU10P-L1FFVB676I is designed for high-performance computing environments, particularly in data centers and cloud computing solutions. It supports large-scale parallel processing tasks, making it ideal for applications such as machine learning, big data analytics, and scientific simulations.
In the financial sector, it powers complex algorithmic trading systems that require rapid data processing and analysis. Its robust design ensures reliability under heavy load conditions.
For automotive manufacturers, it enables advanced driver assistance systems (ADAS) and autonomous driving features, enhancing vehicle safety and performance through real-time data processing.
Operating Temperature: -20¡ãC to +85¡ãC
Key Advantages
1. High clock speed up to 3.5 GHz, providing superior computational power.
2. Advanced cooling technology ensuring efficient heat dissipation even at high loads.
3. Energy-efficient design with low power consumption per core, reducing operational costs.
4. Compliance with multiple certification standards including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: What is the maximum supported memory capacity?
A1: The XAAU10P-L1FFVB676I can support up to 128 GB of DDR4 memory.
Q2: Is this component compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current hardware platforms, requiring minimal system modifications.
Q3: In which specific scenarios would you recommend using this component?
A3: This component is recommended for high-density server racks where space and power efficiency are critical factors.
Other people’s search terms
– High-performance computing solution
– Data center optimization component
– Automotive ADAS processor
– Machine learning accelerator chip
– Cloud computing hardware upgrade