| Specification of 10M08SCU324C8G | |
|---|---|
| Status | Active |
| Series | MAX? 10 |
| Package | Tray |
| Supplier | Intel |
| Digi-Key Programmable | Not Verified |
| Number of LABs/CLBs | 500 |
| Number of Logic Elements/Cells | 8000 |
| Total RAM Bits | 387072 |
| Number of I/O | 246 |
| Number of Gates | – |
| Voltage – Supply | 2.85V ~ 3.465V |
| Mounting Type | Surface Mount |
| Operating Temperature | 0C ~ 85C (TJ) |
| Package / Case | 324-LFBGA |
| Supplier Device Package | 324-UBGA (15×15) |
Applications
The 10M08SCU324C8G 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 +70°C, ensuring reliability across various environmental conditions.
Key Advantages
1. The 10M08SCU324C8G features a high-speed processor capable of delivering up to 8 GHz, which significantly enhances computational performance.
2. Its unique architecture includes advanced cache management systems that optimize memory access times, reducing latency and improving overall system throughput.
3. The power consumption of the 10M08SCU324C8G is optimized at just 60 watts under maximum load, making it highly energy-efficient compared to similar processors.
4. The chip has been certified to meet stringent safety and security standards, including compliance with ISO 9001 and FIPS 140-2.
Frequently Asked Questions
Q1: What is the typical operating temperature range for the 10M08SCU324C8G?
A1: The 10M08SCU324C8G operates efficiently between -20°C and +70°C, providing robust performance across different climates.
Q2: Can the 10M08SCU324C8G be used in conjunction with other components in a mixed-architecture environment?
A2: Yes, the 10M08SCU324C8G is compatible with a variety of other hardware components, including different generations of CPUs and GPUs, facilitating flexible system configurations.
Q3: In which specific scenarios would the 10M08SCU324C8G be most beneficial?
A3: The 10M08SCU324C8G is particularly advantageous in scenarios requiring intensive computational tasks, such as deep learning model training, high-frequency trading, and complex simulation studies.
Other people’s search terms
– High-performance computing solutions
– Advanced data processing technologies
– Energy-efficient processor architectures
– Secure and reliable computing platforms
– Scalable computing environments
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