Technology Labs
VL - KRIA : EDGE FPGA DEVELOPMENTBOARD
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About Product
The VL-CPLD Basic Development Board is a hands-on training platform designed to help students and engineers learn and verify digital logic designs using a Xilinx CoolRunner-II CPLD. It allows users to implement VHDL/Verilog code directly on hardware and observe results through onboard switches, LEDs, keypads, and 7-segment displays, making it ideal for foundational digital electronics and programmable logic experiments.
High-Performance Zynq UltraScale+ MPSoC Platform
Built around the AMD Kria K26 SoM featuring quad-core ARM Cortex-A53, dual Cortex-R5F real-time processors, and Mali-400 MP2 GPU for heterogeneous edge computing
Advanced Hardware Security
Includes Hardware Root of Trust (RoT) and Infineon TPM 2.0, enabling secure and measured boot for edge and industrial deployments
High-Speed Memory & On-Chip Acceleration
Equipped with 4 GB DDR4 memory along with on-chip BRAM and URAM, supporting high-bandwidth FPGA-accelerated workloads.
Rich Multimedia & Display Support
Supports HDMI 1.4 and DisplayPort 1.2a, making it suitable for vision, HMI, and graphical edge applications
Multi-Camera Vision Interfaces
Provides 2× MIPI CSI-2, Raspberry Pi-compatible CSI, and support for up to 8 cameras, integrated with OnSemi AP1302 ISP for vision processing.
Low-Power Edge-Ready Design
Modular SoM + Carrier + Thermal Solution architecture with active cooling and typical power consumption under 15 W.
Processor / Device
Device: AMD Zynq™ UltraScale+™ MPSoC (Kria K26 SOM)
Processor Subsystem: Quad Arm® Cortex-A53 + Dual Cortex-R5F + Mali™-400 MP2 GPU
Hardware Security: Hardware Root of Trust (RoT), Infineon TPM 2.0 for measured boot
Primary Boot Memory: 512 Mb QSPI
Secondary Boot Memory: SD Card (SDHC)Memory
DDR Memory: 4 GB DDR4 (4 × 512 Mb × 16 bit), non-ECC
On-Chip Memory: Includes BRAM and URAM blocks for high-bandwidth processing.
Connectivity & Interfaces
Ethernet: 1 × 10/100/1000 Mb/s Gigabit Ethernet port
USB: 4 × USB 3.0 / USB 2.0 portsDisplay Outputs:
1 × HDMI™ 1.4
1 × DisplayPort™ 1.2aCamera Interfaces
2 × MIPI CSI-2 (ISP connected, auto-focus supported)
1 × Raspberry Pi-compatible MIPI CSI interface
Up to 8 total camera interfaces supported
Image Signal Processor: OnSemi AP1302 ISPExpansion Interfaces
1 × 12-pin Pmod interface (Supports Digilent Pmods and custom I/O)
System & Power
Form Factor: System-on-Module (SOM) + Carrier Card + ThermalSolution
Cooling: Active fan with heatsink included
Power Input: External DC supply (required, sold separately)
Power Consumption: Typically under 15 W (depending on design)
Boot Linux from the QSPI/SD card and verify TPM-based secure boot and Root of Trust functionality.
Implement a hardware accelerator in FPGA fabric and offload compute-intensive tasks from ARM Cortex-A53.
Interface MIPI CSI cameras and perform real-time image capture using the AP1302 Image Signal Processor.
Build a vision pipeline using ARM + FPGA + GPU for edge inference or image analytics.
Output processed data or video streams via HDMI/DisplayPort.
Interface external sensors or modules using the 12-pin Pmod interface.
With 35 years of legacy in Technical Education, Akademika extends its expertise to Defence and Skill development, building Innovative, Reliable Training Systems for the next generation of Learners.
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