Products – Page 2 – Enclustra Inc.

Enclustra Design-in Kits help shorten time-to-market for any AMD Zynq™ UltraScale+™ MPSoC based application. Be it image processing, machine vision, test & measurement, communication or medical: With an Enclustra System-on-Module, the development time can be halved.

To shorten time-to-market as much as possible, Enclustra offers broad design-in support for their products and a comprehensive ecosystem, offering all required hardware, software and support materials. Detailed documentation and reference designs make it easy to get started. A user manual, user schematics, a 3D model, PCB footprints, differential I/O length tables and the Linux-based Board Support Package (BSP) are all provided. In combination with ready-made base boards and heatsinks, developing an FPGA project has never been easier.

AI/Machine Learning Examples Included

The design-in kits include 2 example applications, to get you started: AI face detection and image classification. They are based on ResNet50 and AMD Vitis™ Software Platform. The ready made binaries as well as the sources are packed with the box – as well as the extensive documentation how to build it yourself.

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Design-in Kit | Mercury XU5

Mercury

Design-in Kit,Mercury

AI/Machine Learning Examples Included

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Lynx SAI50

Lynx

Edge AI MLSoC

The Enclustra Lynx SAI50 SoM, powered by the SiMa.ai Modalix MLSoC, delivers high-efficiency Edge AI performance in a compact form. With a top-tier ML accelerator, ARM cores, vision processors, and video codecs, it supports demanding AI and computer vision tasks. Extensive connectivity, large on-chip memory, and support for LPDDR5, eMMC, QSPI, HDMI, and USB ensure seamless integration. Ideal for smart cities, robotics, healthcare, drones, and autonomous driving.

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Mars AX3

Mars

AMD Artix 7™

The Mars AX3 FPGA module is equipped with a powerful, low-cost AMD Artix-7™ 28nm FPGA, Gigabit Ethernet, and fast DDR3 SDRAM, making it perfectly suited for high-speed communication and DSP applications.

The SO-DIMM form factor allows space-saving hardware designs, and speedy, simple integration of the FPGA board into the target application.

FPGA Device: XC7A35T, XC7A50T, XC7A100T

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Mars AX3

Mars

The Mercury+ SA2 system-on-chip (SoC) module combines Intel’s Cyclone V ARM Processor-based SoC FPGA with fast DDR3L SDRAM, quad SPI flash, a Gigabit Ethernet PHY, dual Fast Ethernet PHYs and an RTC and thus forms a high-performance embedded processing solution, combining the flexibility of a CPU system with the raw, real-time parallel processing power of an FPGA.

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