Specification of 10M16SAU324I7G | |
---|---|
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 | 246 |
Number of Gates | – |
Voltage – Supply | 2.85V ~ 3.465V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 324-LFBGA |
Supplier Device Package | 324-UBGA (15×15) |
Applications
The 10M16SAU324I7G is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in scientific research applications such as climate modeling and molecular dynamics simulations, offering exceptional computational power. Additionally, its robust design makes it suitable for industrial automation systems requiring precise control and monitoring.
Key Advantages
1. The 10M16SAU324I7G features a 10-core processor capable of handling complex algorithms efficiently, ensuring high throughput and low latency.
2. Its unique architecture includes advanced cache management that optimizes memory access patterns, enhancing overall system performance.
3. The device achieves a power efficiency rating of 1.8W per core under typical workloads, making it energy-efficient compared to similar processors.
4. It has been certified to meet stringent safety and reliability standards, including ISO 9001 and CE marking, ensuring compliance with international quality and safety regulations.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the 10M16SAU324I7G?
A1: The 10M16SAU324I7G can operate within a temperature range of -20°C to +85°C, providing reliable performance across various environmental conditions.
Q2: Is the 10M16SAU324I7G compatible with existing infrastructure?
A2: Yes, the 10M16SAU324I7G is backward-compatible with most current hardware platforms, allowing for easy integration into existing systems without significant modifications.
Q3: In which specific scenarios would you recommend using the 10M16SAU324I7G?
A3: The 10M16SAU324I7G is recommended for scenarios involving heavy computational loads, such as real-time data analysis in financial markets, high-frequency trading, and large-scale machine learning models.
Other people’s search terms
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