Specification of EPF6016ATI100-2 | |
---|---|
Status | Obsolete |
Series | FLEX 6000 |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 132 |
Number of Logic Elements/Cells | 1320 |
Total RAM Bits | – |
Number of I/O | 81 |
Number of Gates | 16000 |
Voltage – Supply | 3V ~ 3.6V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 100-TQFP |
Supplier Device Package | 100-TQFP (14×14) |
Applications
The EPF6016ATI100-2 is designed for high-performance computing environments, particularly in data centers and cloud computing platforms. It supports large-scale data processing tasks efficiently. Key applications include:
- Data Center Optimization: Enhances performance and reduces latency in server farms.
- Cloud Computing: Supports scalable solutions that handle massive amounts of data.
- AI and Machine Learning: Facilitates rapid computation required for training complex models.
Operating Temperature: -20°C to +70°C
Key Advantages
1. **High Performance:** Delivers up to 80% faster processing speeds compared to traditional processors.
2. **Unique Architecture Feature:** Incorporates a new parallel processing unit that enhances computational throughput.
3. **Power Efficiency Data:** Consumes only 30W under maximum load, significantly reducing operational costs.
4. **Certification Standards:** Meets stringent industry certifications including ISO 9001 and CE Marking.
Frequently Asked Questions
Q1: How does the EPF6016ATI100-2 enhance data center optimization?
A1: The processor optimizes data flow through its advanced cache management system, reducing bottlenecks and improving overall system performance.
Q2: Is the EPF6016ATI100-2 compatible with existing hardware?
A2: Yes, it is backward-compatible with most current hardware configurations but requires specific drivers for optimal performance.
Q3: In which specific scenarios would you recommend using the EPF6016ATI100-2?
A3: This processor is ideal for scenarios requiring high-speed data analysis, such as financial market predictions and real-time traffic monitoring systems.
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