Specification of 10M02DCU324C8G | |
---|---|
Status | Active |
Series | MAX? 10 |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 125 |
Number of Logic Elements/Cells | 2000 |
Total RAM Bits | 110592 |
Number of I/O | 160 |
Number of Gates | – |
Voltage – Supply | 1.15V ~ 1.25V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 324-LFBGA |
Supplier Device Package | 324-UBGA (15×15) |
Applications
The 10M02DCU324C8G 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 Infrastructure Management (DCIM): The device supports monitoring and managing power consumption and environmental conditions in data centers.
- Cloud Computing Services: Ideal for virtual machine management and scaling solutions, ensuring optimal resource allocation.
- High-Performance Computing (HPC): Suitable for simulations and modeling tasks that require significant computational power.
Operating Temperature: -20°C to +60°C
Key Advantages
1. **Technical Specification:** Supports up to 32 cores at 2.4 GHz frequency.
2. **Unique Architecture Feature:** Incorporates advanced cooling technology for enhanced thermal management.
3. **Power Efficiency Data:** Achieves energy efficiency rating of 0.75, indicating low power consumption per unit of performance.
4. **Certification Standards:** Meets international certifications such as ISO 9001 and UL 60950-1.
Frequently Asked Questions
Q1: What is the maximum number of cores supported by the 10M02DCU324C8G?
A1: The 10M02DCU324C8G supports up to 32 cores.
Q2: Is the 10M02DCU324C8G compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current infrastructure systems, requiring minimal modifications.
Q3: In which specific scenarios would you recommend using the 10M02DCU324C8G?
A3: The 10M02DCU324C8G is recommended for scenarios involving extensive data processing, such as big data analytics, AI training models, and complex simulation tasks.
Other people’s search terms
– High-performance computing solution
– Cloud computing hardware
– Data center infrastructure management
– Advanced cooling technology
– Energy-efficient server components