Specification of HC20K1000FC672AB | |
---|---|
Status | Obsolete |
Series | APEX? HardCopy? |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | – |
Number of Logic Elements/Cells | 38400 |
Total RAM Bits | 327680 |
Number of I/O | – |
Number of Gates | 1000000 |
Voltage – Supply | 1.71V ~ 1.89V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 672-BBGA |
Supplier Device Package | 672-FBGA (27×27) |
Applications
The HC20K1000FC672AB is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks such as machine learning algorithms, big data analytics, and scientific simulations. This component operates efficiently within a wide range of temperatures from -20°C to +85°C, ensuring reliability across various climates.
Key Advantages
1. High computational throughput up to 20 teraflops at peak performance.
2. Advanced cooling technology that reduces thermal resistance to less than 0.1°C/W.
3. Energy-efficient design with power consumption optimized to 1.5 watts per teraflop.
4. Meets stringent industry certifications including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: What is the maximum operating temperature for the HC20K1000FC672AB?
A1: The HC20K1000FC672AB can operate safely up to +85°C under standard conditions.
Q2: Is the HC20K1000FC672AB compatible with existing systems?
A2: Yes, it is backward-compatible with most current systems but requires specific firmware updates for optimal performance.
Q3: In which specific scenarios would you recommend using the HC20K1000FC672AB?
A3: The HC20K1000FC672AB is ideal for scenarios requiring high-speed data processing, such as real-time analysis in financial markets, predictive modeling in healthcare, and complex simulation tasks in engineering.
Other people’s search terms
– High-performance computing solutions
– Data center components
– Machine learning accelerators
– Scientific computing hardware
– Energy-efficient processors