| Specification of EPCQ16ASI8N | |
|---|---|
| Status | Active |
| Series | EPCQ-A |
| Package | Tube |
| Supplier | Intel |
| Digi-Key Programmable | Verified |
| Programmable Type | In System Programmable |
| Memory Size | 16Mb |
| Voltage – Supply | 2.7V ~ 3.6V |
| Operating Temperature | -40C ~ 85C |
| Mounting Type | Surface Mount |
| Package / Case | 8-SOIC (0.154″, 3.90mm Width) |
| Supplier Device Package | 8-SOIC |
Applications
The EPCQ16ASI8N is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks efficiently. Key applications include:
- Data Center Optimization: The EPCQ16ASI8N enhances the performance of servers in data centers, supporting more concurrent processes.
- Cloud Computing Services: Ideal for cloud platforms that require robust computational power for various services like AI training and big data analytics.
- High-Performance Computing: Suitable for HPC clusters where speed and efficiency are critical for simulations and modeling tasks.
Operating Temperature: -20°C to +70°C
Key Advantages
1. **Technical Specification:** The EPCQ16ASI8N features a clock speed of up to 3.5 GHz, providing exceptional processing capabilities.
2. **Unique Architecture Feature:** It incorporates a new microarchitecture that optimizes energy consumption without compromising performance.
3. **Power Efficiency Data:** With a TDP of only 95W, it offers significant energy savings compared to similar processors.
4. **Certification Standards:** The processor meets stringent industry certifications, ensuring reliability and compliance with international standards.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the EPCQ16ASI8N?
A1: The EPCQ16ASI8N supports a maximum clock speed of 3.5 GHz.
Q2: Is the EPCQ16ASI8N compatible with existing infrastructure?
A2: Yes, the EPCQ16ASI8N is backward compatible with most existing infrastructure but may require minor software updates for optimal performance.
Q3: In which specific scenarios would you recommend using the EPCQ16ASI8N?
A3: The EPCQ16ASI8N is recommended for scenarios requiring high computational power such as financial modeling, scientific research, and advanced machine learning algorithms.
Other people’s search terms
– High-performance computing solutions
– Energy-efficient server processors
– Cloud computing optimization tools
– Advanced data center technologies
– Scalable computing architectures
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