ubuntu News - Page 2 of 187 - CNX Software

April 7, 2025April 7, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

AAEON UP 710S Edge Intel Processor N50/N97/N100/N200 mini PC is offered with Windows 11 IoT Enterprise or Ubuntu Pro 24.04 LTS

AAEON UP 710S Edge is a small fanless Mini PC powered by Intel Processor N50, N97, N100, or N200 Alder Lake-N SoC designed for companies wanting to upgrade industrial automation setups, and running Windows 11 IoT Enterprise 24H2 LTSC or Ubuntu Pro 24.04 LTS. Based on the UP 710S SBC introduced last November, the mini PC features a 10-pin terminal block with up to eight GPIOs, SPI, I2C, and PWM, an RS-232/422/485 COM, and support for WiFi and Bluetooth via an M.2 2230 E-Key slot. The computer also offers HDMI video output, three USB 3.2 ports, and gigabit Ethernet networking. UP 710S Edge specifications: Alder Lake-N SoC Intel Processor N50 dual-core processor up to 3.4 GHz with 6MB cache, 16EU Intel UHD Graphics @ up to 750 MHz; TDP: 6W Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics @ up to 1.2 GHz; […]

April 2, 2025April 2, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

NV8600-Nano AI Developer Kit features NVIDIA Jetson Orin Nano 8GB, quad GbE, Raspberry Pi Camera Module 2

AAEON NVIDIA Jetson Orin Nano Developer Kit Raspberry Pi Camera Modules

AAEON NV8600-Nano AI Developer Kit is based on a 67 TOPS NVIDIA Jetson Orin Nano 8GB and ships with a carrier board with quad GbE, a Raspberry Pi Camera Module 2, a fan kit (heatsink with fan), and a 60W power adapter. The carrier board is also equipped with a 256GB M.2 2280 M-key NVMe SSD, a SATA connector, HDMI 1.4 video output, two MIPI CSI connectors compatible with Raspberry Pi Camera Modules, six USB 3.2 Gen 2 Type A ports, a few serial interfaces, a 40-pin GPIO header compliant with the Jetson Orin Nano (Super) developer kit, and two more M.2 sockets for wireless/cellular expansion. NV8600-Nano AI Developer Kit specifications: NVIDIA Jetson Orin Nano 8GB Module CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU @ 1.7 GHz with 1.5MB L2 + 4MB L3 GPU – 1,020 MHz NVIDIA Ampere architecture with 1024 CUDA cores and 32 tensor cores Video […]

March 31, 2025 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Geniatech APC680 Edge AI and TV Box is powered by Synaptics VS680 AI SoC with 7.9 TOPS NPU

Geniatech APC680 is described as an “AI-powered TV box” powered by Synaptics VS680 quad-core Cortex-A73 SoC with a built-in 7.9 TOPS NPU and designed for smart entertainment and edge computing. The system comes with 4GB RAM and 16GB eMMC flash by default, 4K capable HDMI output and input ports, gigabit Ethernet, WiFi 5 and Bluetooth 5.0, a few USB ports, and a range of wireless options including 4G LTE, Zigbee, Z-Wave, and LoRa. Besides being just an AI-powered TV box, it could also be used as a Smart Home gateway in more ways than one. Geniatech APC680 specifications: SoC – Synaptics VS680 CPU – Quad-Core Arm Cortex-A73 processor GPU – Imagination PowerVR Series9XE GE9920 with support for OpenGL ES 3.2, OpenCL 1.2, Vulkan 1.1, and DirectFB VPU Up to 2160p60 decode with AV1, H.265, H.264, VP9, VP8, and MPEG-2 Up to 1080p60 encode with H.264, VP8 NPU – 7.9 TOPS with […]

March 27, 2025March 26, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Radxa CM3J industrial-grade Rockchip RK3568J SoM is compatible with Raspberry Pi Compute Module 4

Radxa CM3J is a Raspberry Pi Compute Module 4 compatible SoM powered by a Rockchip RK3568J industrial-grade quad-core Cortex-A55 SoC and equipped with up to 8GB LPDDR4x and up to 256GB eMMC flash. It’s an update to the Radxa CM3 based on the Rockchip RK3566 SoC with an industrial temperature range and only two board-to-board connectors, and can also be viewed as a cost-down version of the Radxa CM3i with RK3568 and four B2B connectors. It competes directly against the industrial-grade Raspberry Pi Compute Module 4 introduced at the beginning of this month. Radxa CM3J specifications compared to the Radxa CM3 and Raspberry Pi CM4: The Radxa CM3J has been tested with the official Raspberry Pi CM4 IO Board, WaveShare CM4‑POE‑UPS‑BASE, WaveShare CM4‑IO‑BASE‑B, and WaveShare CM4‑NANO‑B, but other carrier boards for the Compute Module 4 may also be supported. Like with other such modules, there’s no 100% pin compatibility with […]

March 26, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

Stereolabs ZED Box Mini “Super” is a compact mini PC based on NVIDIA Jetson Orin Nano or NX system-on-module and equipped with two GMSL2 camera inputs with synchronization trigger input/output, enabling AI Vision processing for robotics and smart infrastructure. The AI vision mini PC / embedded computer unit (ECU) also features a 256GB SSD, HDMI 1.4/2.1 video output, a gigabit Ethernet port, an optional Intel AX201 wireless module with two external antennas, a USB 3.0 port, a micro USB port for flashing the OS, and a 10-pin GPIO header with CAN Bus and UART for expansion. ZED Box mini specifications: System-on-Module (one or the other) NVIDIA Jetson Orin Nano 4GB | 34 TOPS NVIDIA Jetson Orin Nano 8GB | 67 TOPS NVIDIA Jetson Orin NX 8GB | 117 TOPS NVIDIA Jetson Orin NX 16GB | 157 TOPS Storage – 256GB SSD inserted in M.2 Key-M 2242 socket Video Output – […]

March 25, 2025March 25, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]

March 20, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Canonical now officially supports Ubuntu on NVIDIA Jetson system-on-modules

The NVIDIA JetPack SDK has been based on Ubuntu ever since it was created (although the Jetpack 6 SDK changed that somewhat), so I was surprised to read that Canonical now officially supports Ubuntu on NVIDIA Jetson, since I assumed there may have already been a partnership in place. The announcement explains that Canonical has announced the General Availability (GA) of Ubuntu for the NVIDIA Jetson Orin for edge AI and robotics “bringing enterprise-grade stability and support” to the popular system-on-modules. Canonical further explains the collaboration enables better performance with optimized Ubuntu images for the NVIDIA Jetson platform, enterprise-level security with updates and long-term support, a unified environment from edge to cloud, and improved stability and reliability with Canonical’s QA team performing over 500 OS compatibility-focused hardware tests. If we visit the NVIDIA Jetson page of the Ubuntu website, we’ll find Ubuntu Server 22.04 images for the Jetson AGX Orin, […]

March 19, 2025March 21, 2025 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

NVIDIA DGX Spark – A desktop AI supercomputer powered by NVIDIA GB10 20-core Armv9 SoC with 1,000 TOPS of AI performance

NVIDIA DGX Spark desktop AI supercomputer

NVIDIA DGX Spark may look like a mini PC, but under the hood, it’s a powerful AI supercomputer based on the NVIDIA GB10 20-core Armv9 SoC with Blackwell architecture delivering up to 1,000 TOPS (FP4) of AI performance, and high memory bandwidth (273 GB/s) with 128 GB 256-bit LPDDR5x. The GB10 SoC is equipped with ten Cortex-X925 cores, ten Cortex-X725 cores, a Blackwell GPU, 5th Gen Tensor cores, and 4th Gen RT cores. The system also features a 1 TB or 4TB SSD, an HDMI 2.1a video output port, 10GbE and WiFi 7 networking, and four USB4 ports. NVIDIA DGX Spark specifications: SoC – NVIDIA GB10 CPU – 20-core Armv9 processor with 10x Cortex-X925 cores and 10x Cortex-A725 cores Architecture – NVIDIA Grace Blackwell GPU – Blackwell Architecture CUDA Cores – Blackwell Generation 5th Gen Tensor cores 4th Gen RT (Ray Tracing) cores Tensor Performance – 1000 AI TOPS (FP4) […]