While looking for new and interesting products I found ADLINK’s DLAP Supreme series, a series of Edge AI devices built around the NVIDIA Jetson AGX Orin platform. But that was not the interesting part, what got my attention was it has support for something called the aiDAPTIV+ technology which made us curious. Upon looking we found that the aiDAPTIV+ AI solution is a hybrid (software and hardware) solution that uses readily available low-cost NAND flash storage to enhance the capabilities of GPUs to streamline and scale large-language model (LLM) training for small and medium-sized businesses. This design allows organizations to train their data models on standard, off-the-shelf hardware, overcoming limitations with more complex models like Llama-2 7B. The solution supports up to 70B model parameters with low latency and high-endurance storage (100 DWPD) using SLC NAND. It is designed to easily integrate with existing AI applications without requiring hardware changes, […]
AAEON BOXER-8654AI-KIT – NVIDIA Jetson Orin NX-based Edge AI kit features four gigabit Ethernet ports with PoE support
The AAEON BOXER-8654AI-KIT Edge AI kit is a compact development kit built around the NVIDIA Jetson Orin NX modules with four gigabit Ethernet ports (with optional PoE) and an Out-of-Band (OOB) management header, and designed for applications like smart cities, IoT ecosystems, edge AI, and others. The multi-functional carrier board also offers six USB 3.2 Gen 2 ports, HDMI video output, two MIPI CSI, two DB-9 ports for RS-232/422/485 and CAN Bus, and a 40-pin NVIDIA Jetson-compatible GPIO header for I2C, SPI, and UART interfaces. Expansion options include M.2 E and B-key slots for Wi-Fi and 5G modules (with onboard SIM), an M.2 M-Key slot for NVMe SSDs, and a SATA connector. AAEON BOXER-8654AI-KIT specifications SoM – NVIDIA Jetson Orin NX module CPU 8GB Version – 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 cache + 4MB L3 cache 16GB Version – 8-core Arm Cortex-A78AE v8.2 64-bit CPU, 2MB L2 […]
Linux 6.13 Release – Main changes, Arm, RISC-V, and MIPS architectures
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 […]
SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support
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
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 […]
$249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge
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 […]
Vulkan 1.4 3D graphics and compute API released
The Khronos Group has just announced the release of Vulkan 1.4 cross-platform 3D graphics and compute API. The new release makes some of the optional extensions and features mandatory, adds streaming transfers, and supports 8K rendering on up to eight targets. Minimum hardware limits have also been increased including at least seven maxBoundDescriptorSets and eight maxColorAttachments. Vulkan 1.4 highlights: Streaming Transfers: new implementation requirements to ensure applications can stream large quantities of data to a device while simultaneously rendering at full performance. Previously optional extensions and features critical to emerging high-performance applications are now mandatory in Vulkan 1.4, ensuring availability across multiple platforms. These include push descriptors, dynamic rendering local reads, and scalar block layouts. Maintenance extensions up to and including VK_KHR_maintenance6 are now part of the core Vulkan 1.4 specification. 8K rendering with up to eight separate render targets is now guaranteed to be supported, along with several other […]
Portwell PJAI-100-ON rugged Edge AI embedded system features NVIDIA Jetson Orin Nano for industrial quality control
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 […]