Specification of 10AX115H2F34E2SG | |
---|---|
Status | Active |
Series | Arria 10 GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 427200 |
Number of Logic Elements/Cells | 1150000 |
Total RAM Bits | 68857856 |
Number of I/O | 504 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.98V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 1152-BBGA, FCBGA |
Supplier Device Package | 1152-FCBGA (35×35) |
Applications
The 10AX115H2F34E2SG 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: Used in server racks to enhance computational power.
- Cloud Computing Services: Supports scalable cloud solutions that require robust hardware.
- High-Performance Computing: Ideal for simulations and modeling tasks requiring significant processing capabilities.
Operating Temperature: -20°C to +85°C
Key Advantages
1. **Technical Specification:** The processor operates at up to 3.6 GHz with a maximum TDP of 120W.
2. **Unique Architecture Feature:** Incorporates advanced cache management technology for improved performance.
3. **Power Efficiency Data:** Achieves energy efficiency ratios up to 1.5 W/MHz under standard conditions.
4. **Certification Standards:** Meets international safety and environmental standards, including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: What is the typical lifespan of the 10AX115H2F34E2SG?
A1: The expected lifespan is over 5 years under normal operating conditions.
Q2: Is the 10AX115H2F34E2SG compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current systems but requires specific drivers and firmware updates for optimal performance.
Q3: In which specific scenarios would you recommend using the 10AX115H2F34E2SG?
A3: This processor is recommended for scenarios involving intensive data analysis, such as financial market predictions, scientific research, and artificial intelligence training models.
Other people’s search terms
– High-performance computing processors
– Cloud computing hardware solutions
– Advanced data center components
– Energy-efficient processors
– Scalable computing architectures