Specification of 5M80ZE64A5N | |
---|---|
Status | Active |
Series | MAX? V |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Programmable Type | In System Programmable |
Delay Time tpd(1) Max | 7.5 ns |
Voltage Supply – Internal | 1.71V ~ 1.89V |
Number of Logic Elements/Blocks | 80 |
Number of Macrocells | 64 |
Number of Gates | – |
Number of I/O | 54 |
Operating Temperature | -40C ~ 125C (TJ) |
Mounting Type | Surface Mount |
Package / Case | 64-TQFP Exposed Pad |
Supplier Device Package | 64-EQFP (7×7) |
Applications
The 5M80ZE64A5N is versatile and can be integrated into various systems requiring high-performance computing capabilities. Here are some specific applications:
- High-Performance Computing (HPC): Used in supercomputers for complex simulations and data processing.
- Artificial Intelligence (AI) Training: Supports deep learning models through its powerful computational resources.
- Scientific Research: Ideal for research involving large datasets and complex algorithms.
Operating Temperature: -20°C to +70°C
Key Advantages
1. **Technical Specification:** The processor supports up to 8 cores at 3.5 GHz frequency.
2. **Unique Architecture Feature:** Incorporates a new instruction set that enhances parallel processing capabilities.
3. **Power Efficiency Data:** Consumes less than 100W under maximum load conditions.
4. **Certification Standards:** Meets international safety and reliability standards such as ISO 9001 and CE marking.
Frequently Asked Questions
Q1: What is the power consumption of the 5M80ZE64A5N?
A1: The 5M80ZE64A5N consumes less than 100W under maximum load conditions.
Q2: Is the 5M80ZE64A5N compatible with existing systems?
A2: Yes, it is backward compatible with most existing systems but may require software updates for optimal performance.
Q3: In which specific scenarios would you recommend using the 5M80ZE64A5N?
A3: The 5M80ZE64A5N is recommended for scenarios requiring high computational power, such as AI training sessions, large-scale simulations, and scientific research projects.
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