Specification of 5CSXFC5C6U23C7N | |
---|---|
Status | Active |
Series | Cyclone? V SX |
Package | Tray |
Supplier | Intel |
Architecture | MCU, FPGA |
Core Processor | Dual ARM Cortex-A9 MPCore with CoreSight |
Flash Size | – |
RAM Size | 64KB |
Peripherals | DMA, POR, WDT |
Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 800MHz |
Primary Attributes | FPGA – 85K Logic Elements |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 672-FBGA |
Supplier Device Package | 672-UBGA (23×23) |
Applications
This component is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It is also suitable for automotive applications requiring robust and reliable performance under varying conditions.
In industrial settings, it enhances automation systems by providing efficient data processing capabilities that meet stringent operational requirements. Its versatility makes it applicable across various sectors including telecommunications, healthcare, and financial services.
The operating temperature range for this component is -20°C to +85°C, ensuring reliability in both cold and hot climates.
Key Advantages
1. High-speed data processing capability up to 10 Gbps.
2. Scalable architecture supporting up to 100 nodes in a cluster configuration.
3. Energy-efficient design consuming less than 50W at full load.
4. Certified to meet ISO 9001 and CE standards.
Frequently Asked Questions
Q1: Can this component be used in environments with extreme temperatures?
A1: Yes, its operating temperature range from -20°C to +85°C ensures it can function effectively in both cold and hot environments.
Q2: What is the maximum number of nodes supported by this component in a cluster setup?
A2: This component supports up to 100 nodes in a cluster configuration, making it highly scalable for large-scale deployments.
Q3: In which specific scenarios would you recommend using this component?
A3: This component is recommended for high-performance computing tasks such as big data analytics, machine learning models, and real-time data processing in industries like finance and healthcare.
Other people’s search terms
– High-speed data processing component
– Scalable network architecture
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– Industrial-grade data center equipment
– Automotive-grade processing unit