Linux Category - Page 101 of 590 - CNX Software

January 18, 2023January 20, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

UP Xtreme i12 Edge mini PC features Alder Lake-P SoC up to Intel Core i7-1270PE

AAEON has just launched the UP Xtreme i12 Edge mini PC based on the company’s UP Xtreme i12 SBC equipped with an Intel Core i7-1270PE and other Alder Lake processors, up to 32GB LPDDR5 memory, and support for two M.2 NVMe SSD as well as SATA storage The Xtreme i12 Edge is the successor of the Xtreme i11 Edge Compute Enabling Kit powered by a choice of Intel Tiger Lake processors. It also comes with 2.5GbE and GbE networking, one USB4 port, several USB 3.2 Gen2 ports, HDMI and DisplayPort video outputs, plus some COM ports and a terminal block for GPIOs. UP Xtreme i12 Edge mini PC specifications: Alder Lake-P SoC (One or the other) Intel Core i7-1270PE 12-core/16-thread processor @ 3.30GHz / 4.50GHz (Turbo) with 96EU Intel Xe graphics – PBP: 28W, up to 64W MTP Intel Core i5-1250PE 12-core/16-thread processor @ 3.20GHz / 4.40GHz (Turbo) with 80EU […]

January 16, 2023January 16, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

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

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 […]

January 13, 2023January 13, 2023 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

QNAP preps Rockchip RK3588 AI NAS and Intel NAS with hot-swappable E1.S SSDs

QNAP has been teasing two potentially interesting NAS coming up soon: the TS-AI642 AI NAS leveraging the 6 TOPS NPU in Rockchip RK3588 Arm processor for image and facial recognition, and the TBS-574X NAS powered by an Intel Core i3-1220P Alder Lake CPU and taking up to five hot-swappable E1.S NVMe PCIe SSDs. Details are limited since neither device is available yet, but both NAS are equipped with relatively powerful Arm and Intel processors and offer some innovative features. QNAP TBS-574X NAS with Rockchip RK3588 Preliminary specifications: SoC – Rockchip RK3588 octa-core 64-bit Arm processor with 4x Cortex-A76 cores @ 2.2 GHz, 4x Cortex-A55 cores @ 1.8 GHz, 6 TOPS NPU Storage – 6x SATA III bays Video Output – 2x HDMI 2.1 ports Networking – Built-in 2.5GbE, PCIe Gen 3 slot for 10GbE module The main highlight is the 6 TOPS AI accelerator that boosts the performance of the […]

January 10, 2023March 5, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

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

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 […]

January 10, 2023January 10, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

MistySoM Renesas RZ/G2L or RZ/V2L SoM and devkit goes for $112 and up

MistySOM devkit Renesas RZ/G2L or RZ/V2L

We’ve previously written about several system-on-modules and SBCs based on Renesas RZ/G2L or RZ/V2L Cortex-A55/M33 processors such as Geniatech “AHAURA” RS-G2L100 and “AKITIO” RS-V2L100 single board computers, Forlinx FET-G2LD-C system-on-module, and SolidRun RZ/G2LC SOM and devkit. But most of those are hard to buy, and you need to contact the company, discuss your project, etc… before purchase, except for the SolidRun Renesas RZ/G2LC Evaluation Kit going for $249. Another option is the MistyWest MistySOM module offered for $112 and up on GroupGets with either Renesas RZ/G2L or RZ/V2L processor, as well as an optional carrier board. MistySOM system-on-module MistySOM-G2L (aka MW-G2L) and MistySOM-V2L (aka MW-V2L) specifications: SoC – Renesas RZ/G2L or RZ/V2L with dual-core Cortex-A55 processor @ 1.2 GHz, Arm Cortex-M33 core @ up to 200 MHz, Arm Mali-G31 GPU, and DRP-AI vision accelerator (RZ/V2L only) System Memory – 2GB LPDDR4/DDR4 Storage – 32GB eMMC flash 2x 120-pin high-speed mezzanine […]

January 9, 2023January 9, 2023 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Raspberry Pi Camera Module 3 launched with autofocus and HDR

Raspberry Pi Trading has launched the Camera Module 3, their first camera module supporting autofocus and HDR, designed to work with all Raspberry Pi boards that can take a camera, and offered with either a standard or wide field-of-view, and an optional infrared cut filter. All four variants of the new camera module are equipped with a Sony IMX708 12MP sensor that supports high-dynamic range (HDR) and features phase detection autofocus. The Camera Module 3 has the same X/Y dimensions and mounting holes as the popular Camera Module 2 launched in 2016, but is several millimeters taller due to the improved optics. Raspberry Pi Camera Module 3 specifications: 12MP Sony IMX708 back-illuminated and stacked CMOS image sensor Sensor size – 7.4mm diagonal Pixel size: 1.4μm x 1.4μm Resolution – 4608 x 2592 pixels FoV – See comparison table between different models below Common video modes: 1080p50, 720p100, 480p120 Autofocus system: […]

January 6, 2023November 2, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

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

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 […]

January 5, 2023January 5, 2023 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

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 […]