| Specification of 5M160ZT100A5N | |
|---|---|
| Status | Active |
| Series | MAX? V |
| Package | Tray |
| Supplier | Intel |
| Digi-Key Programmable | Verified |
| Programmable Type | In System Programmable |
| Delay Time tpd(1) Max | 7.5 ns |
| Voltage Supply – Internal | 1.71V ~ 1.89V |
| Number of Logic Elements/Blocks | 160 |
| Number of Macrocells | 128 |
| Number of Gates | – |
| Number of I/O | 79 |
| Operating Temperature | -40C ~ 125C (TJ) |
| Mounting Type | Surface Mount |
| Package / Case | 100-TQFP |
| Supplier Device Package | 100-TQFP (14×14) |
Applications
The 5M160ZT100A5N is versatile and can be integrated into various high-performance computing systems. It excels in applications requiring high computational power such as artificial intelligence training, big data analytics, and scientific simulations. This component operates within a wide range of temperatures from -40°C to +85°C, making it suitable for both industrial environments and server rooms.
Key Advantages
1. The 5M160ZT100A5N features a 16-core processor designed for multi-threaded applications, providing unparalleled processing speed and efficiency.
2. Its unique architecture includes advanced cache management that enhances data access speeds, crucial for real-time processing tasks.
3. The power consumption of the 5M160ZT100A5N is significantly lower than its predecessors, achieving up to 30% energy savings while maintaining performance levels.
4. The chip has been certified to meet stringent safety and reliability standards, ensuring consistent performance across different operating conditions.
Frequently Asked Questions
Q1: Can the 5M160ZT100A5N handle complex machine learning models?
A1: Yes, the 5M160ZT100A5N is equipped with powerful hardware acceleration capabilities specifically designed for machine learning algorithms, making it ideal for handling complex models efficiently.
Q2: Is there any specific software requirement for optimal performance of the 5M160ZT100A5N?
A2: For optimal performance, it is recommended to use the latest version of the operating system and relevant drivers optimized for the 5M160ZT100A5N architecture. Additionally, using parallel programming frameworks like OpenMP or CUDA can further enhance its performance.
Q3: In which scenarios would you recommend using the 5M160ZT100A5N?
A3: The 5M160ZT100A5N is highly recommended for scenarios involving large-scale data processing, AI model training, and simulation tasks where high computational power and efficiency are critical.
Other people’s search terms
– High-performance computing solutions
– Advanced AI processing components
– Energy-efficient processors for data centers
– Scalable computing architectures
– Reliable and efficient server components
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