Altera’s wideband Agilex 9 Direct RF-Series AGRW039 SoC FPGA is designed for high-performance Radio Frequency (RF) systems in aerospace, defense, and advanced communications systems. It is the fourth device in Altera’s Agilex 9 Direct RF-Series, and compared to the previous generation AGRW027, the new AGRW039 delivers about 45% more logic resources, 45% more DSP resources, and 43% more block RAM. It also integrates a 64Gsps wideband RF, a hard quad-core Cortex-A53 processor, and supports DDR5 and LPDDR5 memory. Agilex 9 Direct RF AGRW039 SoC FPGA key features and specifications: Hardware CPU – Quad-core Arm Cortex-A53 processor @ up to 1.41 GHz FPGA fabric 3.9M logic elements (LEs) 1.3M adaptive logic modules (ALMs) 18,960 M20K memory Blocks 370 Mb M20K memory Size 65,280 MLAB memory count 40 Mb MLAB memory size 24,600 18×19 multipliers 12,300 DSP/AI blocks Single Precision – 18.4 TFLOPS Memory I/F – DDR5, LPDDR5, DDR4 Peripherals PS – […]
Thundercomm TurboX C7790 Android and Linux development kit features Qualcomm Dragonwing Q-7790 Edge AI SoC
Thundercomm has launched the TurboX C7790 development kit, a compact edge AI platform built around the Qualcomm Dragonwing Q-7790 (CQ7790S) processor. The kit offers up to 24 TOPS of AI performance and support for both Android and Linux operating systems. The development kit pairs a TurboX C7790 system-on-module equipped with 12GB LPDDR5X RAM and 128GB flash with a carrier board featuring a wide range of interfaces from dual GbE to HDMI, USB-C, and MIPI DSI display interfaces. Target applications include AI cameras, video conferencing, robotics, and edge AI gateways. TurboX C7790 Development Kit specifications: System-on-Module – TurboX C7790 SoC – Qualcomm Dragonwing Q-7790 (CQ7790S) 4nm processor CPU – Octa-core Kryo processor up to 2.8 GHz 1x Gold+ core @ 2.8 GHz 4x Gold cores @ 2.4 GHz 3x Silver cores @ 1.8 GHz GPU – Qualcomm Adreno 722 GPU up to 1.15 GHz VPU Video Decode – 4K120 H.264/H.265/AV1 Video […]
ADLINK OSM-MTK520 – A MediaTek Genio 520-based OSM Size-L system-on-module
ADLINK OSM-MTK520 is a 45 x 45mm OSM Size-L system-on-module (SoM) powered by a MediaTek Genio 520 AIoT processor with a 10 TOPS NPU for Edge AI workloads. It’s basically an upgrade to the company’s OSM-MTK510 OSM Size-L module with a Genio 510 hexa-core SoC (3.2 TOPS NPU), up to 32GB eMMC flash, and 8GB LPDDR4 with a Genio 520 octa-core SoC (10 TOPS NPU), up to 256GB or 512GB UFS 3.1 storage, and up to 16GB LPDDR5 memory. There are also some minor changes to I/Os with an extra USB OTG interface, DisplayPort instead of HDMI, an extra MIPI CSI camera interface, fewer I2C interfaces, and more GPIOs. ADLINK OSM-MTK520 specifications: SoC – MediaTek Genio 520 (MT8371) CPU – Octa-core processor with 2x Cortex-A78 cores @ up to 2.2 GHz and 6x Cortex-A55 cores @ up to 2.0 GHz GPU – Arm Mali-G57 MC2 GPU up to 880 MHz […]
Toradex OSM and Lino SoMs – 30×30mm NXP i.MX 93/i.MX 91 modules with solder-down or B2B connector designs
Toradex has launched two new ultra-compact (30x30mm) System-on-Module (SoM) families: OSM and Lino, powered by NXP i.MX 91 or i.MX 93 Arm Cortex-A55 SoC for Edge industrial and IoT applications. The OSM iMX91 and OSM iMX93 variants comply with the OSM Size-S standard, featuring a 332-ball contact grid designed to be soldered to the carrier board. The Lino is a proprietary format that keeps the OSM Size-S dimensions but features two board-to-board (B2B) connectors offering more flexibility for potential replacement or future upgrades. Toradex Lino iMX91/iMX93 system-on-module Toradex Lino specifications: SoC (one or the other) NXP i.MX 93 CPU 2x Arm Cortex-A55 up to 1.7 GHz 2x Arm Cortex-M33 up to 250 MHz GPU – PXP 2D GPU with blending/composition, resize, and color space conversion NPU – Arm Ethos-U65 NPU @ 1 GHz up to 0.5 TOPS Security – EdgeLock Secure Enclave NXP i.MX 91 CPU – Single-core Arm Cortex-A55 […]
ESP32-S3 AIoT Basic – A learning and prototyping kit with camera, audio, LCD, and sensors
The ESP32-S3 AIoT Basic is a low-cost, learning, and prototyping kit for the ESP32-S3. The board integrates common AIoT peripherals directly onto a single PCB, making the design part easy for beginners, classrooms, and rapid prototyping. Built around an ESP32-S3 board, the development platform integrates nine commonly used modules directly on the PCB, including a button, buzzer, LED indicator, light sensor, LCD, digital microphone, SD card slot, audio amplifier, and a camera. Most AI and IoT demos can be run without breadboards or jumper wires, while expansion is supported through standard pin headers and Grove connectors. The board supports 5V power via USB-C, and 6–12 V power input via Vin for driving additional devices. With various tutorials and sample projects, it is suitable for AIoT learning, STEM education, voice and vision demos, sensor-based projects, and quick proof-of-concept development. ESP32-S3 AIoT Basic Specifications: Main board – ESP32-S3 Core Board SoC – […]
Calixto Systems SL1680 OPTIMA industrial SoM and EVK features Synaptics SL1680 Edge AI processor
Calixto Systems has recently introduced the SL1680 OPTIMA, an industrial SoM built around the Synaptics SL1680 quad-core Arm Cortex-A73 SoC with a 7.9+ TOPS secure NPU for Edge AI and advanced multimedia applications. They also announced an evaluation kit (EVK) for rapid product development. The SoM offers up to 4GB LPDDR4 RAM, up to 16GB eMMC flash, an onboard Gigabit Ethernet PHY, and a wide range of interfaces through compact Hirose connectors, including dual MIPI CSI camera inputs, MIPI DSI, HDMI 2.1 Tx/Rx, PCIe 2.0, USB 3.0/2.0, SDIO, RS485, CAN-FD, and various GPIOs. The EVK further expands connectivity with MikroBUS, display and camera interfaces, and industrial I/O, making the platform suitable for AI-enabled vision systems, smart HMIs, automation equipment, and other edge computing applications. SL1680 OPTIMA SoM specifications SoC – Synaptics SL1680 (Astra Series) CPU – Quad-core Arm Cortex-A73 processor @ 2.1 GHz GPU – Imagination PowerVR Series9XE GE9920 GPU with […]
Radxa C200 Orin Developer Kit – An NVIDIA Jetson Orin NX 8GB devkit with three M.2 PCIe 4.0 slots
The Radxa C200 is a compact developer kit built around the NVIDIA Jetson Orin NX 8GB module. It features three PCIe 4.0 NVMe slots and 117 TOPS AI “Super Mode” for high-speed storage expansion, fast-bootable SSDs, and data-intensive AI workloads. It supports 8GB LPDDR5 memory, two M.2 M-Key slots (PCIe 4.0 x2/x4) for NVMe storage or other expansion, and an M.2 E-key (PCIe 4.0 x1) slot for Wi-Fi/BT or other compatible modules. Ports include DisplayPort 1.2 video output, four USB 3.2 Gen2 Type-A ports, a USB Type-C port with recovery mode, Gigabit Ethernet, two MIPI CSI interfaces, and a 40-pin GPIO header. Additional features include CAN bus, PoE headers, RTC battery, and a PWM fan connector, extending system integration options. Radxa C200 Orin Developer Kit specifications: SoM – NVIDIA Jetson Orin NX 8GB module CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache de […]
Nordic nRF7002 EBII adds dual-band Wi-Fi 6 to nRF54L series development kits
Nordic has introduced the nRF7002 EBII as an updated Wi-Fi 6 expansion board for its nRF54L series development kits. The earlier nRF7002 WiFi 6 board was a low-cost add-on for the Thingy:53, mainly for basic prototyping. The new EBII is designed for the newer nRF54L series of SoCs with dual-band Wi-Fi 6 support, power-profiling options, and more. Built around the nRF7002 Wi-Fi Companion IC, it supports Wi-Fi 6 features such as TWT, OFDMA, and BSS coloring for power efficiency and reduced interference. The EBII communicates with nRF54L15 and nRF54LM20 DKs through SPI/QSPI host interfaces, and includes headers for power profiling. Additionally, it features an onboard chip antenna, supports both STA and SoftAP modes, and maintains backward compatibility with 802.11a/b/g/n/ac. These features make it suitable for low-power multiprotocol IoT devices in smart homes, Matter, industrial sensing, wearables, and connected health applications. nRF7002 Expansion Board II specifications: Wi-Fi Companion IC – Nordic nRF7002 […]

