Specification of EPM7128SQI100-10 | |
---|---|
Status | Obsolete |
Series | MAX? 7000S |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Programmable Type | In System Programmable |
Delay Time tpd(1) Max | 10 ns |
Voltage Supply – Internal | 4.5V ~ 5.5V |
Number of Logic Elements/Blocks | 8 |
Number of Macrocells | 128 |
Number of Gates | 2500 |
Number of I/O | 84 |
Operating Temperature | -40C ~ 85C (TA) |
Mounting Type | Surface Mount |
Package / Case | 100-BQFP |
Supplier Device Package | 100-PQFP (20×14) |
Applications
The EPM7128SQI100-10 is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It is also suitable for automotive applications requiring robust, reliable performance under varying conditions.
In industrial settings, it enhances automation systems by providing precise control over machinery operations. Its operating temperature range from -40°C to +85°C ensures reliability across diverse environmental conditions.
Key Advantages
1. High clock speed up to 3.6 GHz, enabling faster processing capabilities.
2. Advanced cache management system that optimizes memory access times.
3. Energy-efficient design with low power consumption, reducing operational costs.
4. Complies with multiple certification standards including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the EPM7128SQI100-10 be used in high-temperature environments?
A1: Yes, its operating temperature range extends down to -40°C, making it suitable for use in extreme cold climates as well.
Q2: What are the specific features that make the EPM7128SQI100-10 unique compared to other processors?
A2: The processor includes a proprietary cooling technology that significantly reduces heat generation, enhancing its performance stability even at higher temperatures.
Q3: In which specific scenarios would the EPM7128SQI100-10 be most beneficial?
A3: This processor excels in scenarios requiring high computational load such as deep learning models training, big data analytics, and complex simulation tasks.
Other people’s search terms
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