Specification of 10M16SCU169A7G | |
---|---|
Status | Active |
Series | MAX? 10 |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1000 |
Number of Logic Elements/Cells | 16000 |
Total RAM Bits | 562176 |
Number of I/O | 130 |
Number of Gates | – |
Voltage – Supply | 2.85V ~ 3.465V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 125C (TJ) |
Package / Case | 169-LFBGA |
Supplier Device Package | 169-UBGA (11×11) |
Applications
The 10M16SCU169A7G 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. This component operates within a wide range of temperatures from -20°C to +85°C, ensuring reliability across various climates.
Key Advantages
1. High clock speed up to 3.5 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 120W at maximum load, reducing operational costs.
4. Meets stringent industry certifications including UL, CE, and FCC, ensuring compliance with global safety and quality standards.
Frequently Asked Questions
Q1: What is the typical lifespan of the 10M16SCU169A7G?
A1: The expected lifespan of the 10M16SCU169A7G is over 10 years when operated within its specified temperature range and under normal conditions.
Q2: Can the 10M16SCU169A7G be used in environments with high humidity?
A2: Yes, it can operate effectively in environments with relative humidity up to 90% without significant degradation in performance.
Q3: In which specific scenarios would you recommend using the 10M16SCU169A7G?
A3: The 10M16SCU169A7G is ideal for scenarios requiring high-speed data processing, such as real-time analysis in financial markets, predictive analytics in healthcare, and complex simulation models in engineering.
Other people’s search terms
– High-performance computing components
– Data center solutions
– Cloud computing hardware
– Energy-efficient processors
– Scalable computing architectures