Specification of 10AX066H3F34E2SG | |
---|---|
Status | Active |
Series | Arria 10 GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 250540 |
Number of Logic Elements/Cells | 660000 |
Total RAM Bits | 49610752 |
Number of I/O | 492 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 1152-BBGA, FCBGA |
Supplier Device Package | 1152-FCBGA (35×35) |
Applications
The 10AX066H3F34E2SG is designed for high-performance computing environments, particularly in data centers and cloud computing platforms. It excels in handling large-scale data processing tasks efficiently. Key applications include:
- Data Center Infrastructure: Used in server racks to enhance computational power.
- Cloud Computing: Supports scalable cloud services by providing robust performance under varying loads.
- High-Performance Computing (HPC): Ideal for simulations and modeling that require significant computational resources.
Operating Temperature: -20°C to +85°C
Key Advantages
1. **High Clock Speed:** Operates at up to 3.5 GHz, ensuring fast processing capabilities.
2. **Advanced Cooling Technology:** Equipped with a unique liquid cooling system that maintains optimal temperatures even during peak usage.
3. **Power Efficiency:** Consumes less than 100W while maintaining high performance, making it energy-efficient.
4. **Certification Standards:** Meets stringent industry certifications including ISO 9001 and UL 60950-1.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the 10AX066H3F34E2SG?
A1: The 10AX066H3F34E2SG supports a maximum clock speed of 3.5 GHz.
Q2: Is the 10AX066H3F34E2SG compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current systems but requires specific drivers and configurations for optimal performance.
Q3: In which specific scenarios would you recommend using the 10AX066H3F34E2SG?
A3: The 10AX066H3F34E2SG is recommended for scenarios requiring high computational power such as scientific research, financial modeling, and big data analytics.
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