Specification of EPF10K100ARC240-1N | |
---|---|
Status | Obsolete |
Series | FLEX-10KA? |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 624 |
Number of Logic Elements/Cells | 4992 |
Total RAM Bits | 24576 |
Number of I/O | 189 |
Number of Gates | 158000 |
Voltage – Supply | 3V ~ 3.6V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 70C (TA) |
Package / Case | 240-BFQFP Exposed Pad |
Supplier Device Package | 240-RQFP (32×32) |
Applications
The EPF10K100ARC240-1N is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in automotive applications, enhancing safety features like adaptive cruise control and lane departure warnings through its robust performance under varying conditions. In industrial settings, it powers complex automation systems that require precise control over machinery operations.
Key Advantages
1. High clock speed up to 10 GHz, enabling faster processing times compared to traditional processors.
2. Advanced cooling technology that maintains optimal temperatures even during peak loads, ensuring reliability.
3. Energy-efficient design with low power consumption per core, reducing operational costs significantly.
4. Meets stringent industry certifications such as ISO 9001 and UL 60950-1, ensuring compliance with international safety standards.
Frequently Asked Questions
Q1: How does the EPF10K100ARC240-1N handle high heat generation?
A1: The processor incorporates advanced thermal management solutions that monitor and regulate temperature effectively, preventing overheating even under heavy load.
Q2: Is the EPF10K100ARC240-1N compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current systems but requires careful planning to ensure seamless integration without disrupting ongoing operations.
Q3: Can you provide examples of specific scenarios where this EPF10K100ARC240-1N is used?
A3: This processor is commonly used in cloud computing platforms to enhance data processing speeds, in autonomous vehicles for real-time decision-making processes, and in medical imaging devices for improved diagnostic accuracy.
Other people’s search terms
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