The AUBoard 15P provides the flexibility and versatility for engineers to experiment with and learn the AMD Artix UltraScale+ ™ architecture. The feature rich AU15P device features 170K programmable logic cells and 12 GTH multi-gigabit transceivers as well as 576 DSP slices and 7.6 Mb of on-chip RAM. Whether you want to explore bare metal, RTOS, or Linux software, the AUBoard 15P will give you a solid base foundation to experiment.

The ZUBoard 1CG provides the flexibility and versatility for engineers to experiment with and learn the AMD Zynq® UltraScale+™ architecture. The affordable ZU1CG device features 81K programmable logic cells with a Dual-core Arm® Cortex®-A53 MPCore™ and Dual-core Arm Cortex-R5F MPCore, as well as cache and on-chip memory.

With a Vivado-enabled board definition file and PetaLinux BSP, you will be up and running in no time! Whether you want to explore bare metal, Linux, or Vitis AI accelerators, the ZUBoard 1CG will give you a base foundation to experiment.

The K24 Development Kit is a combination of an AMD KRIA K24 system on module (reduced feature) and an IO Carrier Card with an Out-of-Box reference design, downloadable Hardware User Guide, Board Definition File (BDF), and Board-Support-Package (BSP) for engineers to design with the K24 SOM.

The VE2302 Development Kit (DK)is specifically designed to evaluate Avnet’s VE2302 System-on-Module (SOM) and AI Edge IO Carrier Card. With a VE2302 DK a designer can assess the capabilities of the AMD Versal™ AI Edge Adaptive SoC with a combination of versatile peripherals. This combination helps designers to kick-start product development giving access to the feature set of the Versal AI Edge Adaptive SoC.

The VE2302-DK is a combination of a VE2302 SOM, AI Edge IO Carrier Card, and a power supply with an Out-of-Box reference design, downloadable Hardware User Guide, Board Definition File (BDF), and Board-Support-Package (BSP) along with example designs to help developers get started in the development of custom applications.

The Vision AI-KIT 6490 features an energy-efficient, multi-camera, SMARC 2.1.1 compute module, based on the Qualcomm QCS6490 SOC device.

High performance cores on the Vision AI-KIT 6490 (Qualcomm Dragonwing™ QCS6490 Development Kit) include an 8-core Kryo™ 670 CPU, Adreno 643 GPU, Hexagon DSP and 6th gen AI Engine (12 TOPS), Spectra 570L ISP (64MP/30fps capability) and Adreno 633 VPU (4K30/4K60 enc/dec rates), ensure that exceptional concurrent video I/O processing performance is delivered.

Qualcomm Linux BSP (Yocto, 6.6 kernel), plus a range of AI/ML and multimedia open-source example applications are provided. Windows 11 IoT Enterprise and Android support will release in 1H25. (Ubuntu Linux for QCS6490 may at later date be supported.)

The development kit ships with a Yocto-based Linux BSP, plus example AI and multi-camera open-source applications. Additional OS options are available, with Windows 11 IoT Enterprise due in 2H24.

Vision AI-KIT IQ9 features an industrial 3.5-inch SBC board fitted with Qualcomm Dragonwing™ IQ-9075 SIP module, that delivers power-efficient on-device Edge AI and compute, for high-performance, heavy workload industrial applications in extreme environments.

The Dragonwing IQ-9075 microprocessor domain (MD) has octa high-performance Kryo Gen6 cores, 100 TOPS of AI-acceleration, plus exceptional multimedia capabilities (up to 16 cameras, multiple displays, 4K170/4K275 enc/dec.). This SOC also features a real time subsystem (RTSS) with quad real-time cores @ 1.85 GHz and peripherals, for low-latency control applications.

Fitted with 2x 128 GB UFS 3.1 flash devices, this kit ships with a Yocto-based Linux BSP, plus example AI and multi-camera, multi-display, open-source applications.