XCZU5EV-2SFVC784I - Zynq UltraScale+ MPSoC EV | AMD
MPN: XCZU5EV-2SFVC784I ✓ Active| Qty | Unit Price | Extended |
|---|---|---|
| 1 | $2876.97 | $2,876.97 |
| 10 | $2750 | $27,500.00 |
| 100 | $2600 | $260,000.00 |
| 500 | $2450 | $1,225,000.00 |
| 1,000 | $2300 | $2,300,000.00 |
XCZU5EV-2SFVC784I Overview
A Zynq UltraScale+ MPSoC is a heterogeneous computing platform that combines a multi-core ARM-based processing system (PS) with FPGA programmable logic (PL) on a single die. This architecture allows designers to implement complex algorithms in hardware for high throughput and low latency, while the PS handles operating systems and control tasks. The EV family specifically adds video codec units, making it ideal for multimedia and vision applications.
Key features of the XCZU5EV-2SFVC784I include 256K+ logic cells, a maximum operating frequency of 1.3 GHz for the Cortex-A53 cores, 600 MHz for the Cortex-R5 cores, and 533 MHz for the Mali-400 GPU. The device supports a wide range of I/O standards and includes high-speed transceivers for serial communication. The -2 speed grade indicates a balanced performance-power profile.
The device is built on TSMC's 16nm FinFET process technology, offering a good balance of performance and power efficiency. The programmable logic is based on the UltraScale+ architecture, featuring 6-input look-up tables (LUTs), block RAM, and DSP slices. The integrated video codec supports H.264/H.265 encoding and decoding, offloading these tasks from the CPU.
Typical applications include video surveillance systems, medical imaging equipment, automotive driver assistance systems, and software-defined radio. The combination of ARM processing, FPGA flexibility, and video codec support makes it a versatile platform for edge computing and vision-based AI.
When designing with this device, careful attention must be paid to power supply sequencing and decoupling. The multiple power rails (VCCINT, VCCAUX, VCCO, etc.) require proper filtering and sequencing to ensure reliable operation. The FCBGA package requires a multi-layer PCB with controlled impedance traces for high-speed signals.
Drop-in alternatives for XCZU5EV-2SFVC784I — same package, pin-to-pin compatible. Different-package parts requiring PCB rework are excluded.
Variants in this series
Same-series models that are drop-in compatible with XCZU5EV-2SFVC784I (same form factor and footprint) — differing in Logic Cells.
Quick Comparison Tool — Select alternative parts for side-by-side comparison:
XCZU5EV-1SFVC784I
✅ Drop-In📋 Reference alternative (not in catalog)
XCZU5EV-2SFVE784I
✅ Drop-In📋 Reference alternative (not in catalog)
XCZU5EG-2SFVC784I
✅ Drop-In📋 Reference alternative (not in catalog)
XCZU5CG-2SFVC784I
✅ Drop-In📋 Reference alternative (not in catalog)
XCZU4EV-2SFVC784I
✅ Drop-In✓ In Stock
$240 / Unit
View Datasheet →XCZU5EV-2SFVC784I Maximum Ratings & Electrical Characteristics
| Core Processor | Quad ARM Cortex-A53 MPCore with CoreSight, Dual ARM Cortex-R5 with CoreSight |
| Graphics Processor | ARM Mali-400 MP2 |
| Logic Cells | 256K+ |
| Maximum Frequency (A53) | 1.3 GHz |
| Maximum Frequency (R5) | 600 MHz |
| Maximum Frequency (Mali-400) | 533 MHz |
| Package | 784-FCBGA (23x23 mm) |
| Mounting Type | Surface Mount |
| Speed Grade | -2 |
| Family | Zynq UltraScale+ MPSoC EV |
| RoHS Status | Compliant |
| Product Status | Active |
| Architecture | MCU, FPGA |
XCZU5EV-2SFVC784I Pin Configuration
| Pin A1 | VCCO_0 — I/O bank 0 supply voltage |
| Pin A2 | GND — Ground |
| Pin B1 | IO_L1P_T0_0 — I/O pin, bank 0 |
| Pin B2 | IO_L1N_T0_0 — I/O pin, bank 0 |
| Pin C1 | VCCINT — Internal core supply voltage |
| Pin C2 | GND — Ground |
| Pin D1 | IO_L2P_T0_0 — I/O pin, bank 0 |
| Pin D2 | IO_L2N_T0_0 — I/O pin, bank 0 |
| Pin E1 | VCCAUX — Auxiliary supply voltage |
| Pin E2 | GND — Ground |
| Pin F1 | IO_L3P_T0_0 — I/O pin, bank 0 |
| Pin F2 | IO_L3N_T0_0 — I/O pin, bank 0 |
Typical Applications
XCZU5EV-2SFVC784I is suitable for 6 applications: Video Surveillance, Medical Imaging, Automotive Driver Assistance, Software Defined Radio, Industrial Automation, Edge AI and Vision.
Video Surveillance
The XCZU5EV-2SFVC784I is ideal for video surveillance systems due to its integrated video codec units that support H.264/H.265 encoding and decoding. The quad-core Cortex-A53 can run analytics algorithms, while the FPGA logic accelerates image processing tasks. The Mali-400 GPU provides additional graphics acceleration for display overlays. This SoC enables real-time video analysis at the edge, reducing bandwidth requirements by processing locally. The 256K+ logic cells allow for custom hardware accelerators for object detection and tracking, making it a powerful platform for intelligent surveillance.
Recommended
Medical Imaging
In medical imaging, the XCZU5EV-2SFVC784I provides the processing power needed for real-time image reconstruction and enhancement. The FPGA logic can implement custom filters and transforms, while the ARM cores handle system control and communication. The integrated video codecs enable efficient compression of medical images for storage and transmission. The Mali-400 GPU supports 3D rendering for visualization. The device's high-speed transceivers allow for fast data transfer from imaging sensors. This SoC is suitable for ultrasound, CT, and MRI systems where low latency and high throughput are critical.
Recommended
Automotive Driver Assistance
The XCZU5EV-2SFVC784I is well-suited for automotive driver assistance systems (ADAS) that require real-time processing of sensor data. The FPGA logic can implement custom neural network accelerators for object detection, while the ARM cores run the main application. The video codec units handle camera data compression and decompression. The device's automotive-grade variants are available for harsh environments. The 256K+ logic cells provide ample resources for implementing multiple processing pipelines. This SoC enables advanced features like lane departure warning, adaptive cruise control, and pedestrian detection.
Recommended
Software Defined Radio
The XCZU5EV-2SFVC784I is an excellent platform for software-defined radio (SDR) applications. The FPGA logic can implement digital down/up converters, filters, and modulation/demodulation algorithms. The ARM cores run the protocol stack and control software. The high-speed transceivers support various RF front-end interfaces. The Mali-400 GPU can be used for spectrum visualization. This SoC enables flexible and reconfigurable radio systems that can adapt to different communication standards. The 256K+ logic cells provide sufficient resources for complex signal processing chains.
Recommended
Industrial Automation
In industrial automation, the XCZU5EV-2SFVC784I provides a powerful platform for machine vision and control systems. The FPGA logic can implement real-time image processing for quality inspection, while the ARM cores handle PLC communication and HMI. The device supports various industrial Ethernet protocols. The Mali-400 GPU enables advanced visualization for operator interfaces. This SoC is suitable for robotics, factory automation, and process control applications. The 256K+ logic cells allow for custom motor control algorithms and sensor fusion. The device's reliability and long-term availability make it ideal for industrial deployments.
Recommended
Edge AI and Vision
The XCZU5EV-2SFVC784I is a powerful platform for edge AI and vision applications. The FPGA logic can implement custom neural network accelerators for inference, while the ARM cores run the application framework. The integrated video codecs handle camera data compression. The Mali-400 GPU supports parallel processing for certain AI workloads. This SoC enables real-time AI inference at the edge, reducing latency and bandwidth requirements. The 256K+ logic cells provide flexibility for implementing various AI models. This device is suitable for smart cameras, drones, and robotics applications.
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Recommended Products Summary
Engineering reference data for XCZU5EV-2SFVC784I — comparison, design guidance, and compliance information.
Selection Guide
Comparison with Alternatives
| Parameter | This Product | XCZU5EV-1SFVC784I | XCZU5EV-2SFVE784I | XCZU5EG-2SFVC784I |
|---|---|---|---|---|
| Package | 784-FCBGA (23x23 mm) | 784-FCBGA (23x23 mm) - same | 784-FCBGA (23x23 mm) - same | 784-FCBGA (23x23 mm) - same |
| Brand | AMD | AMD | AMD | AMD |
| Speed Grade | -2 | -1 | -2 | -2 |
| Video Codec | Yes | Yes | Yes | No |
| Logic Cells | 256K+ | 256K+ | 256K+ | 256K+ |
| Max A53 Frequency | 1.3 GHz | 1.2 GHz | 1.3 GHz | 1.3 GHz |
| Max R5 Frequency | 600 MHz | 600 MHz | 600 MHz | 600 MHz |
| Max Mali-400 Frequency | 533 MHz | 533 MHz | 533 MHz | 533 MHz |
Key Differentiators
- Integrated video codec units (vs XCZU5EG-2SFVC784I)
- Higher speed grade (vs XCZU5EV-1SFVC784I)
- Balanced performance-power profile (vs XCZU5EV-2SFVE784I)
Design Notes
The XCZU5EV-2SFVC784I requires multiple power rails including VCCINT, VCCAUX, and various VCCO supplies. Proper power supply sequencing is critical to prevent damage. Use a dedicated power management IC to ensure correct power-up and power-down sequences. Decouple each power rail with a combination of bulk and high-frequency capacitors placed close to the device pins.
The 784-FCBGA package requires a multi-layer PCB with controlled impedance traces for high-speed signals. Follow the layout guidelines in the AMD UG583 (UltraScale+ PCB Design Guide) for proper routing of DDR4, transceivers, and other high-speed interfaces. Ensure adequate ground planes and via stitching for signal integrity.
The XCZU5EV-2SFVC784I can dissipate significant power, especially when using the FPGA logic and video codecs simultaneously. Use a heatsink and forced airflow for high-performance applications. The thermal design should be validated using AMD's power estimation tools and thermal models. Consider the ambient temperature and enclosure design for reliable operation.
Compliance Information
RoHS compliant per JLCPCB listing. AEC-Q100 not applicable for this non-automotive grade device.
