10AS066K2F35E2LG

Intel Altera Arria 10 SX FPGA System-on-Chip

The 10AS066K2F35E2LG is a high-performance FPGA System-on-Chip from Intel's Arria 10 SX series, combining the flexibility of FPGA fabric with the processing power of dual ARM Cortex-A9 MPCore processors. This device delivers exceptional performance for demanding industrial, automotive, aerospace, communications, and edge computing applications.

Key Features & Benefits

• 660K Logic Elements - Massive FPGA fabric for complex digital logic implementation and custom hardware acceleration
• Dual ARM Cortex-A9 MPCore with CoreSight - High-performance 1.5GHz processors for embedded software execution and system control
• 256KB On-Chip RAM - Fast memory for critical data processing and buffering
• Rich Peripheral Set - DMA, POR, WDT for robust system management
• Comprehensive Connectivity - EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG for versatile system integration
• Industrial Temperature Range - Operates reliably from 0°C to 100°C (TJ) for harsh environments
• Advanced Packaging - 1152-FBGA flip-chip ball grid array (35x35mm) for high-density PCB designs

Ideal Applications

This Arria 10 SX FPGA SoC is perfectly suited for:

• Industrial automation and control systems
• Automotive ADAS and infotainment platforms
• Aerospace and defense signal processing
• 5G/LTE wireless infrastructure and baseband processing
• High-speed data acquisition and processing
• Machine vision and image processing systems
• Edge AI and machine learning acceleration

Technical Specifications

Why Choose This FPGA SoC?

The Arria 10 SX family represents Intel's commitment to delivering high-performance, power-efficient FPGA solutions. By integrating ARM Cortex-A9 processors with extensive FPGA fabric, this device enables system architects to partition workloads optimally—running control software on the ARM cores while implementing custom hardware acceleration in the FPGA fabric. This heterogeneous computing approach delivers superior performance-per-watt compared to traditional CPU-only or FPGA-only solutions.

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