The Jupiter NX is a system-on-module (SoM) powered by a SpacemIT octa-core 64-bit RISC-V SoC that follows NVIDIA’s Jetson Nano / Xavier NX form factor for compatibility with existing carrier boards. Designed by Shenzhen Milk-V Technology, the module supports up to 16GB LPDDR4x memory and 32GB eMMC flash, and integrates two gigabit Ethernet PHYs and a WiFi 6 & Bluetooth 5.2 wireless module. Jupiter NX specifications: SoC – SpacemIT K1/M1 CPU – 8-core X60 RISC-V (RV64GCVB) processor @ 1.6 GHz GPU – Imagination IMG BXE-2-32 @ 819 MHz with support for OpenGL ES3.2, Vulkan 1.3, OpenCL 3.0; 20 GFLOPS VPU H.265, H.264, VP8, VP9, MPEG4, MPEG2 decoder up to 4K @ 60fps H.265, H.264, VP8, VP9 encoder up to 4K @ 30fps Support simultaneous processing 1080p60 encoding + 1080p60 decoding 1080p30 H.264/H.265 encoding + 4Kp30 H.264/H.265 decoding AI performance – 2.0 TOPS (INT8) through “CPU core fusion” RVA 22 Profile […]
SO-ARM101 open-source dual robotic arm kit works with Hugging Face’s LeRobot
SO-ARM101 “Arm Servo Motor Kit” is an open-source dual robotic arm kit that works with Hugging Face’s LeRobot robotics framework and is designed to interface with NVIDIA Jetson AI modules and computers. It is an update to the SO-ARM100 DIY open-source robotic arm kit introduced last year with LeRobot framework support. The new SO-ARM101 is still comprised of leader and follower arms but features improved wiring to prevent disconnection issues previously seen at joint 3, motors with optimized gear ratios, and a few functionality where the leader arm can now follow the follower arm in real-time, which will be used for reinforcement learning (RL) where a human can intervene and correct the robot’s actions. SO-ARM101 specifications: Degrees of Freedom (DOF) – 6 per Arm Motor control Total servo – 12x STS3215 bus servos (6x for each Arm) Leader Arm 1x (7.4V) 1:345 gear ratio motor for No.2 joints 2x (7.4V) […]
Cerebro clusterboard supports up to four NVIDIA Jetson, Raspberry Pi CM4/CM5, or Radxa CM5 modules (Crowdfunding)
Cerebro is a modular board / clusterboard designed to take up to four system-on-modules such as NVIDIA Jetson SO-DIMM modules, Raspberry Pi CM4 or CM5, or Radxa CM5. The board integrated a BMC for intercommunication between the CPU modules. The Cerebro was designed out of frustration as the team at Sparklab Solution could not find a solution where boards would work together seamlessly. While there are other clusterboards for Raspberry Pi Compute modules, the Cerebro motherboard provides more flexibility with three M.2 sockets per node, a built-in BMC and optional expandable BMC, KVM support between each node, dual Ethernet, a 10 Gbps USB 3.2 port, and more. Specifications: Compute Modules 4x SODIMM-260 slots Compatibility Nvidia Jetson Orin NX/Nano Raspberry Pi CM4/CM5 via adapter Radxa CM5 via adapter Supports mix and match of different models Storage 2x M.2 key-M slots per node (8x in total) for NVMe SSD 1x MicroSD card […]
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 […]
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 […]
NV8600-Nano AI Developer Kit features NVIDIA Jetson Orin Nano 8GB, quad GbE, Raspberry Pi Camera Module 2
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 […]
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 – […]
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, […]