Nvidia Tegra X1 Category - CNX Software

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

IBASE EC3100 – A fanless NVIDIA Jetson Orin NX/Nano embedded computer with up to 6x GbE ports (4x with PoE)

IBASE EC3100 is a fanless edge AI computer powered by NVIDIA Jetson Orin NX or Orin Nano module with up to six GbE ports, including four with PoE for cameras, a wide 9V to 36V DC input, and a -20°C to 70°C temperature range for industrial environments. The EC3100 is equipped with a choice of modules from the Jetson Orin Nano 4GB up to the Jetson Orin NX 16GB, delivering a maximum of 157 TOPS of AI performance. The embedded system also features an HDMI 2.1 video output, audio input and output jacks, optional WiFi and/or 4G LTE/5G cellular connectivity, RS232 and CAN Bus DB9 connectors, and several digital inputs and outputs. EC3100 specifications: System-on-Module (one or the other) EC3100-NANO-4 – NVIDIA Jetson Orin Nano 4GB with 8-core Arm Cortex-A78AE CPU @ 1.5 GHz, 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores; 34 TOPS max EC3100-NANO-8 – NVIDIA Jetson […]

April 8, 2025April 8, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots

Aerium System’s Lumen is a carrier board for NVIDIA Jetson SO-DIMM modules designed specifically for drones and robots with a range of low-profile connectors for I/Os for USB, UART, I2C, etc…, and three M.2 sockets for storage and wireless expansion. It targets the same applications as ARK Electronics’ NDAA-compliant Jetson Orin Nano/NX carrier board for drones we covered last year, but it’s not sold as a full kit and lacks NDAA-compliance. On the positive side, it is quite smaller and lighter, so it might be better suited to smaller and/or less complex drones or robots that may still benefit from Vision AI acceleration. Aerium Lumen specifications: Compatible system-on-modules NVIDIA Jetson Nano NVIDIA Jetson Orin NX NVIDIA Jetson Orin Nano NVIDIA Jetson Xavier NX NVIDIA Jetson TX2 NX Potentially other Jetson-compatible SO-DIMM modules like the Mixtile Core 3588E, but those are not listed by the company. Storage MicroSD card slot M.2 Key-B […]

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 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 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) […]

March 18, 2025March 17, 2025 by Debashis Das - 4 Comments

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

February 3, 2025February 4, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Roboreactor – A Web-based platform to design Raspberry Pi or Jetson-based robots from electronics to code and 3D files

Roboreactor Web based interface to design robots

Roboreactor is a web-based platform enabling engineers to build robotic and automation systems based on Raspberry Pi, NVIDIA Jetson, or other SBCs from a web browser including parts selection, code generation through visual programming, and generating URDF models from Onshape software. You can also create your robot with LLM if you wish. The first step is to create a project with your robot specifications and download and install the Genflow Mini image to your Raspberry Pi or NVIDIA Jetson SBC. Alternatively, you can install Gemini Mini middleware with a script on other SBCs, but we’re told the process takes up to 10 hours… At this point, you should be able to access data from sensors and other peripherals connected to your board, and you can also start working on the Python code using visual programming through the Roboreactor node generator without having to write code or understand low-level algorithms. Another […]