Category: Nvidia Tegra X1

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Linux 6.13 Release – Main changes, Arm, RISC-V, and MIPS architectures

Linux 6.13 Release – Main changes, Arm, RISC-V, and MIPS architectures

Linux 6.13 Changelog

Linus Torvalds has just announced the release of Linux 6.13 on the Linux Kernel Mailing List: So nothing horrible or unexpected happened last week, so I’ve tagged and pushed out the final 6.13 release. It’s mostly some final driver fixes (gpu and networking dominating – normal), with some doc updates too. And various little stuff all over. The shortlog is appended for people who want to see the details (and, as always, it’s just the shortlog for the last week, the full 6.13 log is obviously much too big). With this, the merge window for 6.14 will obviously open tomorrow. I already have two dozen pull requests pending – thank you, you know who you are. Linus Release about two months ago, Linux 6.12 – the new LTS version – brought us real-time “PREEMPT_RT” support that had always required out-of-tree patchsets until now, the completion of the EEVDF (Earliest Eligible […]

Posted on by Debashis Das - No Comments on SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

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 […]

Posted on by Debashis Das - No Comments on Firefly’s CSB1-N10 series AI cluster servers can deliver up to 1000 TOPS of AI power with Rockchip or NVIDIA Jetson Modules

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on $249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

$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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Mercury X1 wheeled humanoid robot combines NVIDIA Jetson Xavier NX AI controller and ESP32 motor control boards

Mercury X1 wheeled humanoid robot combines NVIDIA Jetson Xavier NX AI controller and ESP32 motor control boards

Mercury X1 wheeled humanoid robot

Elephant Robotics Mercury X1 is a 1.2-meter high wheeled humanoid robot with two robotic arms using an NVIDIA Jetson Xavier NX as its main controller and ESP32 microcontrollers for motor control and suitable for research, education, service, entertainment, and remote operation. The robot offers 19 degrees of freedom, can lift payloads of up to 1kg, work up to 8 hours on a charge, and travel at up to 1.2m/s or about 4.3km/h. It’s based on the company’s Mercury B1 dual-arm robot and a high-performance mobile base. Mercury X1 specifications: Main controller – NVIDIA Jetson Xavier NX CPU – 6-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 caches GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI accelerators – 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Giveaway Week 2024 winners announced!

Giveaway Week 2024 winners announced!

Giveaway Week 2024 Prizes

We’re now ready to announce the winners of CNX Software’s Giveaway Week 2024. We offered some of the review samples we tested (and some we did not test) in the last year, and for the fourth year running, RAKwireless also gave away two IoT development kits shipped directly to winners. This year’s prizes also included a RISC-V motherboard, a 3D depth camera, a few Arm development boards, two touchscreen displays, and an Alder Lake-N mini PC/router. All those products can be seen in the photo, minus some accessories. You’ll find more than seven devices because we organized the third Giveaway Week on CNX Software Thailand simultaneously with four prizes. We had seven winners on CNX Software: Jupiter RISC-V mini-ITX motherboard – François-Denis, Canada Orbbec Femto mega 3D depth and 4K RGB camera  – Reifu, Japan RAKwireless Blues.ONE LoRaWAN, LTE-M, and NB-IoT devkit – OldCrow, Portugal Mixtile Core 3588E development kit […]

Posted on by Sayantan Nandy - No Comments on Portwell PJAI-100-ON rugged Edge AI embedded system features NVIDIA Jetson Orin Nano for industrial quality control

Portwell PJAI-100-ON rugged Edge AI embedded system features NVIDIA Jetson Orin Nano for industrial quality control

Portwell PJAI-100-ON

Portwell has launched the PJAI-100-ON, a rugged and compact embedded system powered by the NVIDIA Jetson Orin Nano SOM and designed for demanding industrial environments. It operates reliably across a wide temperature range of -20°C to 60°C with a fanless, quiet design that requires minimal maintenance. Equipped with dual Gigabit Ethernet LAN ports and M.2 slots for wireless connectivity, the PJAI-100-ON is tailored for Edge AI applications. This system enhances quality control in manufacturing by using advanced optical inspection technology to detect defects, improving quality assurance and reducing production errors. Previously, we covered other Jetson Orin Nano embedded systems, including Aetina’s AIE-KO21, AIE-KO31, AIE-KN31, and AIE-KN41 and DFI X6-MTH-ORN fanless Edge AI Box computer, as well as Portwell’s WEBS-21J0-ASL another rugged embedded system built around an Intel Atom x7000RE Amstom Lake Nano-ITX motherboard and equipped with an Hailo-8 AI accelerator. Portwell PJAI-100-ON specifications: SoM – NVIDIA Jetson Orin Nano CPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 148 Comments on Giveaway Week 2024 – Orbbec Femto mega 3D depth and 4K RGB camera

Giveaway Week 2024 – Orbbec Femto mega 3D depth and 4K RGB camera

Orbbec Femto Mega review OrbbecViewer

The second prize of Giveaway Week 2024 is the Orbbec Femto Mega 3D depth and 4K RGB camera powered by an NVIDIA Jetson Nano module and featuring Microsoft ToF technology found in Hololens and Azure Kinect DevKit. The camera connects to Windows or Linux host computers through USB or Ethernet and is supported by the Orbbec SDK with the NVIDIA Jetson Nano running depth vision algorithms to convert raw data to precise depth images. I first reviewed the Orbbec Femto Mega using the Orbbec Viewer for a quick test connected to an Ubuntu laptop (as shown above) before switching to a more complex demo using the Orbbec SDK for body tracking in Windows 11. Although it was satisfying once it worked, I struggled quite a lot to run the body tracking demo in Windows 11, so there’s a learning curve, and after you have this working, you’d still need to […]

UP 7000 x86 SBC