Aetina unveils NVIDIA Jetson Orin Nano and Orin NX edge embedded systems

Aetina AIE-KO21/31 AIE-KN31/41

Aetina has recently announced several embedded systems based on NVIDIA Jetson Orin NX and Orin Nano which they showcased at CES 2023. We’ll specifically have a look at the AIE-KO21/31 and AIE-KN31/41 edge devices designed for mainstream and entry-level edge AI computing. NVIDIA introduced the NVIDIA Jetson Orin NX SO-DIMM modules in March 2022 and followed up with the lower-cost pin-compatible Jetson Orin Nano modules in September with mass production scheduled for Q4 2022 and Q1 2023 respectively. Last week, we covered the first NVIDIA Jetson Orin NX edge AI computer we had seen, namely Seeed Studio reComputer J4012, but it turns out Aetina also announced their own Jetson Orin NX/Orin Nano industrial embedded computers around the same time. Aetina AIE-KO21, AIE-KO31, AIE-KN31, and AIE-KN41 specifications: System-on-module AIE-KO21 – NVIDIA Jetson Orin Nano 4GB with up to 20 TOPS of AI performance AIE-KO31 – NVIDIA Jetson Orin Nano 8GB with […]

Kontron D3724-R mSTX – A Mini-STX motherboard based on Ryzen Embedded R2000 CPU

AMD Ryzen Embedded R2000 mini STX motherboard

Kontron D3724-R mSTX is an upcoming industrial Mini-STX motherboard powered by an AMD Ryzen Embedded R2000 Series SoC and designed for applications with high graphical requirements such as casino gaming, medical displays, thin clients, and compact industrial PCs. The motherboard supports up to 32GB RAM, SATA & NVMe storage, and is equipped with up to three DisplayPort outputs, one HDMI port, as well as eDP and dual-channel LVDS interfaces to support up to four independent 4K displays. Kontron D3724-R mSTX specifications: SoC (One or the other) D3724-R1 – AMD Embedded R2312 dual-core/quad-thread processor @ 2.7 / 3.5 GHz (Turbo) with 3-core AMD Radeon Vega Graphics; 12-35W TDP D3724-R2 – AMD Embedded R2314 quad-core processor @ 2.1 / 3.5 GHz (Turbo) with 6-core AMD Radeon Vega Graphics; 12-35W TDP D3724-R3 – AMD Embedded R2514 quad-core/eight-thread processor @ 2.1 / 3.7 GHz (Turbo) with 8-core AMD Radeon Vega Graphics; 12-35W TDP System […]

reComputer J4012 mini PC features NVIDIA Jetson Orin NX for AI Edge applications

reComputer J4021 mini PC

reComputer J4012 is a mini PC or “Edge AI computer” based on the new NVIDIA Jetson Orin NX, a cost-down version of the Jetson AGX Orin, delivering up to 100 TOPS modern AI performance. The mini PC is based on the Jetson Orin NX 16GB, comes with a 128GB M.2 SSD preloaded with the NVIDIA JetPack SDK and offers Gigabit Ethernet, four USB 3.2 ports, and HDMI 2.1 output. Wireless connectivity could be added through the system’s M.2 Key E socket. reComputer J4012 / J401 specifications: SoM – NVIDIA Jetson Orin NX 16GB with CPU – 8x Arm Cortex-A78AE core @ up to 2.0 GHz with 2MB L2 + 4MB L3 cache GPU/AI 1024-core NVIDIA Ampere GPU with 32 Tensor Cores @ up to 918 MHz 2x NVDLA v2.0 @ 614 MHz PVA v2 vision accelerator 100 TOPS AI performance (sparse) Video Encoder  (H.265) 1x 4Kp60 | 3x 4Kp30 6x […]

Orbbec Femto Mega 3D depth and 4K RGB camera features NVIDIA Jetson Nano, Microsoft ToF technology

Femto Mega 3D camera

Orbbec Femto Mega is a programmable multi-mode 3D depth and RGB camera based on NVIDIA Jetson Nano system-on-module and based on Microsoft ToF technology found in Hololens and Azure Kinect DevKit. As an upgrade of the earlier Orbbec Femto, the camera is equipped with a 1MP depth camera with a 120 degrees field of view and a range of 0.25m to 5.5m as well as a 4K RGB camera, and enables real-time streaming of processed images over Ethernet or USB. Orbbec Femto Mega specifications: SoM – NVIDIA Jetson Nano system-on-module Cameras 1MP depth camera Precision: ≤17mm Accuracy: < 11 mm + 0.1% distance NFoV unbinned & binned:H 75°V 65° WFoV unbinned & binned:H 120°V 120° Resolutions & framerates NFoV unbinned: 640×576 @ 5/15/25/30fps NFoV binned: 320×288 @ 5/15/25/30fps WFoV unbinned: 1024×1024 @ 5/15fps NFoV binned: 512×512 @ 5/15/25/30fps 4K RGB camera FOV – H: 80°, V: 51°b D: 89°±2° Resolutions […]

Banana Pi BPI-CM4 Amlogic A311D system-on-module launched for $95

Banana Pi BPI-CM4 on Raspberry Pi CM4 IO board

Banana Pi BPI-CM4 system-on-module powered by an Amlogic A311D hexa-core Cortex-A73/A53 processor and compatible with the Raspberry Pi CM4  module has now been launched for $95 and up. Banana Pi introduced the Raspberry Pi CM4 compatible module with Amlogic A311D CPU last May with some 3D renders and specifications, and we expected a launch in Q4 2022 or Q1 2023 at the time. The Banana Pi BPI-CM4 is now available together with a carrier board so let’s have another look. Banana Pi BPI-CM4 specifications: SoC – Amlogic A311D hexa-core processor with 4x Arm Cortex-A73 @ 2.0 GHz and 2x Arm Cortex-A53, Arm Mali-G52 MP4 (6EE) GPU, 5 TOPS NPU System Memory – 4GB LPDDR4 RAM Storage – 16GB eMMC flash (up to 128GB) Networking Realtek RTL8211F Gigabit Ethernet PHY on-module Dual-band WiFi 5 up to 867Mbps and Bluetooth 5.2 via Realtek RTL8822CS module and 2x u.FL antenna connectors 2x 100-pin […]

COM Express & COM-HPC modules features Intel 13th gen Raptor Lake embedded processors

Express-RLP Raptor Lake-P COM Express

ADLINK has just announced the Express-RLP COM Express Type 6 and COM-HPC-cRLS COM-HPC size C modules based on the new Intel 13th generation Raptor Lake hybrid processors with Embedded and Industrial SKUs. The Express-RLP comes with an up to 14 cores, 20 threads Raptor Lake-P processor, 64GB DDR5 SO-DIMM, and PCIe Gen4, while the COM-HPC-cRLS offers up to a 24-core Rasptor Lake-S embedded processor, 128GB DDR5 SO-DIMM, PCIe Gen5, and 2x 2.5GbE LAN. Both modules support Intel TCC, and Time Sensitive Networking (TSN), and are suitable for hard real-time computing workloads required by applications such as industrial automation, autonomous driving, AI robots, and aviation. Express-RLP Raptor Lake-P COM Express module Specifications: Raptor Lake-P SoC (one of the other) Intel Core i7-13800HRE 6P+8E cores/20 threads processor @ up to 2.5 GHz with 24MB cache, Intel Iris Xe graphics; TDP: 45W (cTDP: 35W) Intel Core i7-1370PRE 6P+8E cores/20 threads processor @ up […]

MediaTek Genio 700 Cortex-A78/A55 IoT processor targets industrial and Smart Home applications

MediaTek Genio 700

MediaTek Genio 700 is an octa-core Arm processor with two Cortex-A78 cores, six Cortex-A55 cores, a Mali-G57 GPU, and a 4 TOPS AI accelerator designed for consumer and industrial IoT applications. The new processor is a cost-down version of the Genio 1200 premium AIoT processor introduced last year with four Cortex-A78 and four Cortex-A55 cores. The Genio 700 offers many of the same features but with lower performance/capabilities, including a 3-core GPU and an AI accelerator limited to 4.0 TOPS, as well as support for dual displays up to 4K + Full HD (instead of 2x 4K), and 32MP single cameras (instead of 48 MP). MediaTek Genio 700 specifications: CPU – Octa-core processor with 2x Cortex-A78 cores @ up to 2.2 GHz, 6x Cortex-A55 cores @ up to 2.0 GHz GPU – Arm Mali-G57 MC3 GPU VPU Encoding up to 4Kp60 with H.265/HEVC Decoding up to 4Kp75, AV1, VP9, HEVC, […]

Khadas VIM1S review – Ubuntu 22.04 tested on an Amlogic S905Y4 SBC

Khadas VIM1S review

In this review of Khadas VIM1S SBC, we’ll install Ubuntu 22.04, and report our experience testing the performance such as memory speed and eMMC flash performance, and 3D graphics capabilities. Installing Ubuntu 22.04 on Khadas VIM1S Just like Khadas VIM4 and Edge2, the Khadas VIM1S SBC ships with the OOWOW firmware that allows easy installation of operating systems by downloading the images, and flashing them directly to the eMMC flash.  You need just to connect a monitor and a USB keyboard and have an Internet connection through either LAN or Wi-Fi. Let’s start by installing Ubuntu 22.04 on Khadas VIM1S together. If no OS is installed, OOWOW will boot automatically, but if there’s already another OS installed, you can press and hold the Function button, press the Reset button, and release the Function button. After a few seconds, the OOWOW Wizard as shown in the picture below should show up. […]

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