SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

SO ARM100 AI Arm Kit

Seeed Studio has recently started selling the SO-ARM100 AI Robotic Arm kit, a low-cost AI arm designed for real-world robotics applications. This open-source hardware device features a 6-degree-of-freedom design with high-torque STS3215 bus servos, a 12-bit magnetic encoder for precise angle sensing, and UART for communication. The arm comes with motors, driver boards, power adapters, and other 3D-printed parts like arm segments, base, grippers, and motor mounts. Designed to work with the NVIDIA Jetson edge platform, it is ideal for grasping and placing. All these features make this device suitable for education, research, and AI-driven robotics projects. SO-ARM100 AI robotic arm kit specifications Degrees of Freedom (DOF) – 6 Motor control Total servo – 12x STS3215 bus servos Servo torque Arm kit Standard – 19.5 kg.cm @ 7.4V Arm kit pro – 30 kg.cm @ 12V (Pro) Angle Sensor – 12-bit magnetic encoder USB – USB-C for programming and testing […]

Firefly’s CSB1-N10 series AI cluster servers can deliver up to 1000 TOPS of AI power with Rockchip or NVIDIA Jetson Modules

CSB1 N10 series AI cluster servers

Firefly has recently introduced the CSB1-N10 series AI cluster servers designed for applications such as natural language processing, robotics, and image generation. These 1U rack-mounted servers are ideal for data centers, private servers, and edge deployments. The servers have multiple computing nodes, featuring either energy-efficient processors (Rockchip RK3588, RK3576, or SOPHON BM1688) or high-performance NVIDIA Jetson modules (Orin Nano, Orin NX). With 60 to 1000 TOPS AI power, the CSB1-N10 servers can handle the demands of large AI models, including language models like Gemma-2B and Llama3, as well as visual models like EfficientVIT and Stable Diffusion. CSB1-N10 series specifications All CSB1-N10 AI servers have the same interfaces, and the only differences are the CPU, memory, storage, multimedia, AI capabilities, and related software support. So it’s likely Firefly has made Rockchip system-on-modules compatible with NVIDIA Jetson SO-DIMM form factor, and indeed we previously noted that Firefly designed Core-1688JD4, Core-3576JD4, or Core-3588JD4 […]

Radxa Orion O6 mini-ITX motherboard is powered by Cix P1 12-core Armv9 SoC with a 30 TOPS AI accelerator

Radxa Orion 06 Armv9 mini ITX motherboard

Radxa Orion O6 is an Arm mini-ITX motherboard with performance similar to Apple M1 and Qualcomm 8cs Gen3 platform thanks to the Cix P1 12-core Armv9 processor with four Cortex-A720 cores clocked at 2.8 GHz, four Cortex-A720 cores at 2.4GHz, and four low-power Cortex-A520 cores clocked at 1.8 GHz. The Cix P1 SoC also features an Arm Immortalis-G720 GPU for graphics and AI computing, a 30 TOPS AI accelerator for a combined 45 TOPS of AI inference performance, an 8Kp60 video decoder, and an 8Kp30 video encoder. The Orion O6 SBC ships with up to 64GB LPDDR5, features a 4Kp60 HDMI 2.0 port, a 4Kp120 DP 1.4 connector, two 5Gbps Ethernet ports, M.2 socket for storage and wireless, a PCIe x16 slot, and more. Radxa Orion O6 specifications: SoC – Cix P1 (Codename: CD8180, not the CP8180 variant for AI PCs) 12-core DynamIQ processor 4x Cortex‑A720 big cores @ up […]

$249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

NVIDIA Jetson Orin Nano Super Development Kit

NVIDIA Jetson Orin Nano Super Developer Kit is an upgrade to the Jetson Orin Nano Developer Kit with 1.7 times more generative AI performance, a 70% increase in performance to 67 INT8 TOPS, and about half the price, making it a great development platform for generative AI at the edge, mostly robotics. We’ve seen several AI boxes and boards in the last year capable of offline generative AI applications like the Firefly AIO-1684XQ motherboard or Radxa Fogwise Airbox which I reviewed with Llama3, Stable diffusion, Imgsearch, etc… A product like the Fogwise Airbox delivers up to 32 TOPS (INT8) and sells for around $330 which was very competitive then (June 2024). However, the Jetson Orin Nano Super Developer Kit will certainly disrupt the market with over twice the performance, a lower price, and a larger developer community. NVIDIA Jetson Orin Nano Super specifications: NVIDIA Jetson Orin Nano 8GB Module CPU […]

Khadas Mind 2 AI Maker Kit – An Intel Core Ultra 7 258V “Lunar Lake” mini PC for developers

Khadas Mind 2 AI PC Dev Kit

Khadas recently announced the Mind 2 mini PC with an Intel Core 5 or 7 “Meteor Lake” mini PC. But the company is prepping the launch of another similar device called the “Khadas Mind 2 AI Maker Kit  Dev Workstation” or “Intel Core Ultra Processor (Series 2) AI PC Dev Kit” with a 15th Gen Intel Core Ultra 7 258V “Lunar Lake” processor offering up to 115 TOPS of AI performance. I’ll just call it “Khadas Mind 2 AI Maker Kit” for shorts. The system ships with 32GB RAM and a 1TB SSD, and Khadas says the new system is designed specifically for developers working on AI PC applications, but apart from the faster SoC, it comes with similar features as the Mind 2. This includes HDMI 2.0 video output, two 40Gbps USB4 ports, Wi-Fi 6E (802.11ax), and Bluetooth 5.3 connectivity, as well as two USB 3.2 Gen2 Type-A ports […]

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STM32N6 AI Demo

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio […]

Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed MaixCAM Pro AI camera devkit

Sipeed has recently released the MaixCAM-Pro AI camera devkit built around the SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC which also features a 1 TOPS NPU for AI tasks. The module includes a 2.4-inch color touchscreen and supports up to a 5MP camera module. Other features include WiFi 6, BLE 5.4, optional Ethernet, built-in audio capabilities, a PMOD interface, GPIOs, and more. Additionally, it features an IMU, RTC chip, and AXP2101 power management for enhanced performance. The module is designed for AI vision, IoT, multimedia, and real-time processing applications. Just a few months back, Sipeed introduced the MaixCAM AI camera devkit, which is also built around the SOPHGO SG2002 RISC-V SoC. The new module improves on the MaixCAM with a redesigned PCB, upgraded casing, and various new features including a 2.4-inch IPS touchscreen (640×480), a 1W speaker, expanded IO interfaces, a power button, and an illumination LED. It also […]

VOIPAC iMX93 industrial development kit targets AI, HMI, and Edge Computing applications

Voipac iMX93 Industrial Development Kit

VOIPAC Technologies has recently launched its iMX93 Industrial Development Kit (iMX93 module and iMX development baseboard) which comes in Max, Pro, Basic, and Lite configurations. The system-on-module (SoM) is built around the NXP i.MX93 SoC with dual-core Arm Cortex-A55 application processor running at up to 1.7GHz, a Cortex-M33 co-processor running at up to 250MHz, and an Arm Ethos-U65 microNPU with up to 0.5 TOPS of AI performance. Other features include DDR4 memory, eMMC Flash, and industrial-grade 100-pin shielded connectors for signal integrity and thermal performance. Additionally, the devkit also exposes CAN, PWM, ADC, etc.. signals and supports WiFi 6, Bluetooth 5.3, and dual GbE. These features make the VOIPAC iMX93 industrial development kit suitable for applications including AI, machine learning, human-machine interface (HMI) solutions, and more. iMX93 Industrial Development Kit specifications: System-on-Module (four options) iMX93 Industrial Module Max SoC – NXP i.MX 93 dual-core @ 1.7 GHz with real-time Cortex-M33 co-processor NPU […]

UP 7000 x86 SBC