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Posted on by Debashis Das - 1 Comment on Radxa launches NX4 SoM with Rockchip RK3576(J) industrial SoC and NX4IO carrier board

Radxa launches NX4 SoM with Rockchip RK3576(J) industrial SoC and NX4IO carrier board

Radxa NX4 Rockchip RK3576(J) SoM

Radxa NX4 is a 260-pin SO-DIMM SoM built around the Rockchip RK3576(J) octa-core Cortex-A72/A53 industrial SoC with a 6 TOPS NPU for edge AI workloads. It supports up to 16GB LPDDR5 memory along with optional SPI flash, eMMC 5.1 (up to 256GB), or UFS 2.0 storage (up to 1TB). Radxa has also introduced the NX4 IO carrier board for the module with an HDMI video output, two 4-lane MIPI CSI camera interfaces, four USB 3.2 Type-A ports, one USB 3.2 Type-C port, Gigabit Ethernet with optional PoE, and an M.2 M-key 2280 slot for storage, along with various I/Os. Radxa NX4 SoM specifications: SoC – Rockchip RK3576J (industrial-grade version) CPU – Octa-core CPU with 4x Cortex-A72 cores at 2.2 GHz, 4x Cortex-A53 cores at 2.0 GHz GPU – Arm Mali-G52 MC3 GPU with support for OpenGL ES 1.1, 2.0, and 3.2, OpenCL 2.0, and Vulkan 1.2 NPU – 6 TOPS […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 7 Comments on Rockchip RK1820/RK1828 SO-DIMM and M.2 LLM/VLM AI accelerator modules, devkits, and benchmarks

Rockchip RK1820/RK1828 SO-DIMM and M.2 LLM/VLM AI accelerator modules, devkits, and benchmarks

Rockchip RK1820/RK1828 SO-DIMM module development board

Rockchip unveiled two RK182X LLM/VLM accelerators at its developer conference last July, namely the RK1820 with 2.5GB RAM for 3B parameter models, and the RK1828 with 5GB RAM for 7B parameter models. A few months have passed, and we have a few more details since a development kit based on Rockchip RK1820/RK1828 SO-DIMM module is now available, some basic documentation has been released, and the RK1828 has been benchmarked against the Rockchip RK3588’s NPU. I was also told that M.2 modules are coming soon. Firefly RK182X 3D RAM Stacking Development Kit The “RK182X 3D RAM Stacking Development Kit” is based on the AIO-GS1N2 carrier board, previously offered with a Rockchip RK3576 or RK3588(s) and with a NVIDIA Jetson Orin Nano or NX AI module. Specifications: Main module (now only RK3588 variant for sale as part of the RK182x kit) Core-3588JD4  – Rockchip RK3588 with 6 TOPS NPU, 4GB to 32GB […]

Posted on by Debashis Das - No Comments on Forlinx FET1126Bx-S low-power Rockchip RV1126BJ industrial SoM powers SBC with 40-pin GPIO header

Forlinx FET1126Bx-S low-power Rockchip RV1126BJ industrial SoM powers SBC with 40-pin GPIO header

Forlinx FET1126BJ S Industrial SoM

Forlinx has recently released the FET1126Bx-S, a low-power SoM, which is based on the Rockchip RV1126B (commercial) or RV1126BJ (industrial) SoC. Designed for edge AI applications, the module is suitable for smart cameras, AIoT gateways, and intelligent monitoring systems where local video analytics, low power consumption, and long-term stability are required. It is easy to confuse the newer RV1126B/RV1126BJ with the original Rockchip RV1126, a 32-bit Cortex-A7-based SoC announced around 2020–2021. However, the newer RV1126B/BJ comes with a significant architectural upgrade with a 64-bit quad-core Arm Cortex-A53 processor (instead of the original 32-bit quad-core Cortex-A7) and a more powerful 3.0 TOPS NPU (up from 2.0 TOPS). This updated chip has only recently started appearing in products like Luckfox Aura SBC, Boardcon MINI1126B-P SoM (based on the RV1126B-P), GL.iNet Comet PoE, and GL.iNet Comet Pro KVMs, all of which were released just this year. This makes the FET1126Bx-S SoM one of the […]

Posted on by Debashis Das - 10 Comments on Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module

Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module

Bit Brick Cluster K1

Bit-Brick Cluster K1 is a cluster board designed to mount up to four SSOM-K1 system-on-modules powered by a SpacemiT K1 octa-core RISC-V processor. The board targets developers, researchers, and system integrators working on edge computing, AI workloads, and high-performance embedded applications. The Cluster K1 relies on an onboard Gigabit Ethernet switch chip to interconnect four core boards, giving each board an independent network port for fast and stable inter-node communication with automatic IP assignment. Other key features include USB 3.0/2.0 ports, HDMI output (master slot only), a USB Type-C debug port, an M.2 M-Key slot for storage expansion, a 3-pin fan power header, and dedicated power, reset, and download buttons. The SSOM-K1 system-on-module features a K1 octa-core 64-bit RISC-V CPU with vector extension and AI acceleration up to 2 TOPS. It ships with up to 8GB dual-channel LPDDR4X memory, up to 64GB eMMC flash, and offers dual Gigabit Ethernet, HDMI 1.4 […]

Posted on by Debashis Das - 2 Comments on Firefly CAM-3576 series – Tiny Rockchip RK3576 SBCs for commercial, industrial, and automotive applications

Firefly CAM-3576 series – Tiny Rockchip RK3576 SBCs for commercial, industrial, and automotive applications

CAM 3576Q38 Mini AI SBC

Firefly Technology has introduced the CAM-3576 series of tiny (38 × 38 mm) SBCs based on the Rockchip RK3576 processor with a 6 TOPS NPU for AIoT, edge AI, smart vision, industrial, and automotive applications. It comes in three variants, which include the CAM-3576Q38 (commercial), the CAM-3576JQ38 (industrial), and the CAM-3576MQ38 (automotive) modules designed for smart cameras, intelligent security systems, dash cams, and private on-device AI model deployment. The CAM-3576 series supports up to 16GB of LPDDR5 RAM, up to 256GB eMMC flash, and also includes a microSD card for expansion. Additionally, the boards feature a MIPI CSI input for up to 16MP camera sensors with HDR support, Fast Ethernet, Wi-Fi 6, USB 2.0, USB-C (device), RS-485, UART, I²C, ADC, GPIOs, audio input/output, and RTC support. Firefly CAM-3576Q38 specifications: SoM – ICORE-3576Q38 SoC – Rockchip RK3576 (Q38 – Commercial) or Rockchip RK3576J (JQ38 – Industrial) or Rockchip RK3576M (MQ38 – Automotive) […]

Posted on by Debashis Das - 1 Comment on Calixto Systems SL1680 OPTIMA industrial SoM and EVK features Synaptics SL1680 Edge AI processor

Calixto Systems SL1680 OPTIMA industrial SoM and EVK features Synaptics SL1680 Edge AI processor

SL1680 OPTIMA SOM

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on iWave Systems iG-RainboW-G69M TI AM62L OSM Size-S system-on-module powers Raspberry Pi-sized SBC

iWave Systems iG-RainboW-G69M TI AM62L OSM Size-S system-on-module powers Raspberry Pi-sized SBC

Raspberry Pi TI AM62L OSM carrier board

Yesterday, I wrote about the Beacon AM62L SoM, one of the first system-on-module based on Texas Instruments AM62L dual-core Cortex-A53 SoC for low-power IoT and HMI applications. It turns out there’s another AM62L module compliant with the OSM Size-S standard, along with a Raspberry Pi-sized carrier board. iWave Systems iG-RainboW-G69M is a 30x30mm CPU module with 1GB or 2GB LPDDR4, 8GB eMMC flash by default, and 332 LGA contacts exposing interfaces such as RGB LCD and MIPI CSI display interfaces, dual gigabit Ethernet, I2S audio, USB 2.0 interfaces, and a range of low-speed I/Os. iWave Systems iG-RainboW-G69M specifications: SoC – Texas Instruments AM62Lx CPU – Dual-core Arm Cortex-A53 processor up to 1.25GHz Cache – 32KB L1 D-cache, 32KB L1 I-cache per core; shared 256KB L2 cache System Memory – 1GB LPDDR4, expandable up to 2GB Storage 8GB eMMC flash (other capacities available upon request) 32Kbit EPPROM 332 LGA contacts Storage […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Beacon AM62L – A compact (38x28mm), low-power dual-core Cortex-A53 System-on-Module (SoM)

Beacon AM62L – A compact (38x28mm), low-power dual-core Cortex-A53 System-on-Module (SoM)

Texas Instruments AM62L System-on-Module

Beacon EmbeddedWorks has announced a compact (38x28mm) System-on-Module (SoM) based on the recently introduced low-power Texas Instruments Sitara AM62L dual-core Cortex-A53 SoC designed for IoT, HMI, and general-purpose applications requiring a display. The AML62L SoM features LPDDR4 or DDR4 memory, an 8-bit eMMC flash, and an optional WiFi 5 and Bluetooth 5.0 LE module. All I/Os are exposed through two board-to-board connectors, including RGB LCD or MIPI DSI display interface, two gigabit Ethernet interfaces with TSN support,  USB 2.0, CAN FD, analog inputs, and more. Beacon AM62L specifications: SoC – Texas Instruments AM62L dual-core Arm Cortex-A53 processor up to 1.25GHz; 5600 DMIPS System Memory – LPDDR4, DDR4 Storage – 8-bit eMMC flash Wireless – 802.11ax WiFi 6 1×1 and Bluetooth 5.0 LE; cnxsoft: 802.11ax is WiFi 6, but the company only mentions support for WiFi 5 in other parts of the description. 2x board-to-board connector Storage – 2x 4-bit SD/SDIO […]

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