XCZU4EV-2SFVC784I
| Parameters | |
|---|---|
| Series | Zynq® UltraScale+™ MPSoC EV |
| Moisture Sensitivity Level (MSL) | 4 (72 Hours) |
| RoHS Status | ROHS3 Compliant |
| Package / Case | 784-BFBGA, FCBGA |
| Mfr | AMD |
| Operating Temperature | -40°C ~ 100°C (TJ) |
| Supplier Device Package | 784-FCBGA (23x23) |
| Speed | 533MHz, 600MHz, 1.3GHz |
| Core Processor | Quad ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™, ARM Mali™-400 MP2 |
| RAM Size | 256KB |
| Number of I/O | 252 |
| Architecture | MCU, FPGA |
| Peripherals | DMA, WDT |
| Primary Attributes | Zynq®UltraScale+™ FPGA, 192K+ Logic Cells |
| Flash Size | - |
| Connectivity | CANbus, EBI/EMI, Ethernet, I²C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
| Package | Tray |
| Product Status | Active |
| Base Product Number | XCZU4 |
| REACH Status | REACH Unaffected |
| Standard Package | 1 |
| ECCN | 5A002A4 XIL |
| HTSUS | 8542.39.0001 |
XCZU4EV-2SFVC784I AMD Xilinx Zynq UltraScale+ MPSoC FPGA 533MHz 600MHz 1.3GHz
The XCZU4EV-2SFVC784I is a high-performance, industrial-grade multiprocessor system-on-chip (MPSoC) from AMD Xilinx's Zynq UltraScale+ EV family, built on 16nm FinFET+ technology. It integrates a powerful processing system (PS) with a flexible programmable logic (PL) fabric, combining quad-core ARM Cortex-A53 (up to 1.5GHz), dual-core ARM Cortex-R5 real-time processors, ARM Mali-400 MP2 GPU, and dedicated H.264/H.265 video codec unit (VCU) into a single 784-FCBGA package. This heterogeneous SoC delivers exceptional computing power, real-time responsiveness, and hardware acceleration for embedded vision, industrial automation, and 5G communication applications, with an extended industrial temperature range (-40°C to 100°C) for reliable operation in harsh environments.
The XCZU4EV-2SFVC784I is ideal for applications requiring high-performance processing, real-time control, and advanced multimedia capabilities:
● Embedded vision systems including industrial machine vision, surveillance cameras, and medical imaging devices, leveraging its VCU and GPU for real-time video analytics
● Industrial automation such as programmable logic controllers (PLCs), robotics, and motion control systems, utilizing the Cortex-R5 cores for deterministic real-time processing
● 5G wireless infrastructure including edge computing nodes, small cell base stations, and radio unit (RU) processing, benefiting from high-speed transceivers and flexible FPGA logic
● Automotive ADAS for advanced driver assistance systems, integrating multi-sensor data processing and video recognition
● Aerospace and defense for radar signal processing, satellite communication, and secure embedded systems, withstanding rugged environmental conditions
Alternative Embedded FPGA Models
● Intel Agilex 7 FPGA (AGF014R24A1E2E30): Intel’s alternative SoC FPGA with dual-core ARM Cortex-A53, high-speed transceivers, and industrial temperature support, ideal for communication and industrial applications.
● Microchip PolarFire SoC (MPF300T-FC1156): RISC-V-based SoC FPGA with dual-core RV64GC cores, low-power PolarFire FPGA fabric, and industrial-grade reliability for embedded and edge systems.
● NXP i.MX 8QuadMax (MCIMX8QM6AVUFF): Applications processor with quad-core Cortex-A53, dual-core Cortex-R5, and Vivante GPU, optimized for automotive and industrial multimedia applications.
● Texas Instruments TDA4VM (TDA4VM88T): Jacinto™ 7 automotive processor with dual-core Cortex-A72, DSP cores, and hardware vision accelerators, designed for ADAS and industrial vision systems.
