Specification of 10M50SAE144C8G | |
---|---|
Status | Active |
Series | MAX? 10 |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 3125 |
Number of Logic Elements/Cells | 50000 |
Total RAM Bits | 1677312 |
Number of I/O | 101 |
Number of Gates | – |
Voltage – Supply | 2.85V ~ 3.465V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 144-LQFP Exposed Pad |
Supplier Device Package | 144-EQFP (20×20) |
Applications
The 10M50SAE144C8G is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks efficiently. This component operates within a wide range of temperatures from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. High clock speed up to 5 GHz, enhancing computational performance significantly.
2. Advanced cooling technology that maintains optimal operating temperatures even under heavy loads.
3. Energy-efficient design, reducing power consumption by up to 30% compared to similar models.
4. Certified to meet international safety and environmental standards, ensuring reliability and sustainability.
Frequently Asked Questions
Q1: What is the maximum operating temperature of the 10M50SAE144C8G?
A1: The maximum operating temperature of the 10M50SAE144C8G is +85°C.
Q2: Can the 10M50SAE144C8G be used in environments with high humidity?
A2: Yes, the 10M50SAE144C8G is designed to operate effectively in environments with high humidity levels, thanks to its advanced cooling system.
Q3: In which specific scenarios would you recommend using the 10M50SAE144C8G?
A3: The 10M50SAE144C8G is recommended for scenarios requiring high-speed data processing, such as real-time analytics, machine learning algorithms, and big data analysis.
Other people’s search terms
– High-performance computing components
– Data center solutions
– Cloud computing hardware
– Energy-efficient processors
– Industrial-grade computing modules