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Posted on by Jean-Luc Aufranc (CNXSoft) - 10 Comments on Ubo Pod – A Raspberry Pi 4/5-based personal AI assistant (Crowdfunding)

Ubo Pod – A Raspberry Pi 4/5-based personal AI assistant (Crowdfunding)

Ubo Pod

The Ubo Pod Developer Edition (DE) is an open-source AI vision and conversational voice assistant platform built around the Raspberry Pi 4 or 5, and designed for developers who want more control over their AI experiences. The device aims to replace black boxes like Amazon Echo or Google Next AI assistants, with an open hardware smart speaker running open-source software, and offering features such as speech-to-text, LLMs/VLMs, text-to-speech, tool calling, and various multiple trigger mechanisms, among others.  The Ubo Pod supports both cloud-based and fully local private AI, and features an embedded GUI on the integrated display and a WebUI for no-code setup. Ubo Pod specifications: SBC Ubo Pro 4 – Raspberry Pi 4 Ubo Pro 5 – Raspberry Pi 5 Storage 32GB MicroSD card included and preloaded with OS. Ubo Pro 5 – M.2 PCIe socket for NVMe SSD (or AI accelerator) Display – 1.54-inch color TFT IPS display […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 11 Comments on M5Stack LLM-8850 card – An M.2 M-Key AI accelerator module based on Axera AX8850 24 TOPS SoC

M5Stack LLM-8850 card – An M.2 M-Key AI accelerator module based on Axera AX8850 24 TOPS SoC

M5Stack LLM-AX8850 Card

M5Stack LLM‑8850 card is an M.2 M-Key 2242 AI acceleration module powered by an Axera AX8850 SoC delivering 24 TOPS ( INT8) of performance, and suitable for host devices such as Raspberry Pi 5, Rockchip RK3588 SBCs, and even x86 PCs like mini PCs with a spare M.2 Key-M socket. The card ships with 8GB RAM, a 32Mbit SPI NOR flash, and also supports H.265/H.264 8Kp30 video encoding and 8Kp60 video decoding, with up to 16 channels for 1080p videos. It is also equipped with an active cooling system to maintain stable temperatures and prevent thermal degradation inside enclosures. M5Stack LLM‑8850 card specifications: SoC – Axera AX8850 CPU – Octa-core Cortex‑A55 processor at 1.7 GHz NPU – 24 TOPS @ INT8 VPU Video Encoder – 8K @ 30 fps H.264/H.265 encoding, supports scaling / cropping Video Decoder – 8K @ 60 fps H.264/H.265 decoding, supports 16 channels 1080p parallel decoding, supports scaling / cropping Memory – 8GB 64‑bit LPDDR4x @ 4266 Mbps Storage – 32Mbit QSPI NOR […]

Posted on by Debashis Das - No Comments on AAEON GENE-ARH6 – A 3.5-inch subcompact industrial SBC with Intel Core Ultra 200H/U SoC

AAEON GENE-ARH6 – A 3.5-inch subcompact industrial SBC with Intel Core Ultra 200H/U SoC

AAEON GENE ARH6 3.5 Inch Intel Core Ultra SBC

AAEON’s GENE-ARH6 is a 3.5-inch subcompact industrial SBC built around the Intel Core Ultra 200H/U “Arrow Lake” processors, which delivers up to 96 TOPS AI power when equipped with an Intel Core Ultra 7 255H SoC. The board supports up to 96GB DDR5 memory, and multiple display outputs through HDMI 2.1, DP 2.0, LVDS, and eDP interfaces. Connectivity includes three Ethernet ports, four COM headers, GPIO, SMBus or I2C, and multiple USB ports. Expansion options include M.2 slots for 5G, Wi-Fi 6E CNVi, PCIe Gen4 storage with RAID 0 or 1, and an FPC2 connector for additional PCIe lanes. Other features include TPM 2.0 security, a watchdog timer, a 9V to 36V DC input, and a wide temperature range. Applications include robotics, inference-based safety monitoring, automation, and rugged industrial deployments with wide power input and connectivity options. AAEON GENE-ARH6 specifications: Arrow Lake SoC (one of the other) Intel Core Ultra 5 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Axelera Metis M.2 Max Edge AI module doubles LLM and VLM processing speed

Axelera Metis M.2 Max Edge AI module doubles LLM and VLM processing speed

Metis M.2 Max

Axelera AI’s Metis M.2 Max is an M.2 module based on an upgraded Metis AI processor unit (AIPU) delivering twice the memory bandwidth of the current Metis M.2 module for compute-intensive Edge AI inference applications such as large language models (LLMs) and vision language models (VLMs). The new Metis M.2 Max also offers a slimmer profile, advanced thermal management features, and additional security capabilities. It is equipped with up to 16 GB of memory, and versions for both a standard operating temperature range (-20°C to +70°C) and an extended operating temperature range (-40°C to +85°C) will be offered. These enhancements make Metis M.2 Max ideal for applications in industrial manufacturing, retail, security, healthcare, and public safety. Axelera AI Metis M.2 Max specifications and host requirements: Accelerator – Metis AIPU’ System Memory – 1GB, 4GB, 8GB, or 16GB memory Host Interface – M.2 2280 M-key edge connector with PCIe Gen. 3.0 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on UP Xtreme ARL developer board delivers up to 97 TOPS with Intel Core Ultra 7 265H SoC

UP Xtreme ARL developer board delivers up to 97 TOPS with Intel Core Ultra 7 265H SoC

UP Xtreme ARL Arrow Lake Developer Kit

AAEON’s UP Xtreme ARL developer board is based on Intel Core Ultra 200H Series “Arrow Lake” processors, yielding up to 97 TOPS of AI performance when equipped with an Intel Core Ultra 7 265H SoC. The new Arrow Lake board ships with up to 64GB LPDDR5x memory, offers one SATA and two M.2 sockets for NVMe storage, supports triple display setups through HDMI and DP connectors, integrates GbE and 2.5GbE jacks, features M.2 Key-E and Key-B sockets for WiFi/Bluetooth and 4G LTE/5G cellular expansion, two RS232/RS485 interfaces, and a 40-pin GPIO header.  AAEON made the board for professional developers wanting to build advanced industrial robotics and Autonomous Mobile Robots (AMR) applications.   UP Xtreme ARL specifications: Arrow Lake SoC (one of the other) Intel Core Ultra 5 225H 14-core (4P+8E+2LPE) processor @ up to 4.90 GHz with 18MB cache, 7 Xe core Intel Arc 130T GPU @ 2.20 GHz (63 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on $3499 NVIDIA Jetson AGX Thor Developer Kit features 2070 TOPS Jetson T5000 SoM for robotics and edge AI

$3499 NVIDIA Jetson AGX Thor Developer Kit features 2070 TOPS Jetson T5000 SoM for robotics and edge AI

NVIDIA Jetson AGX Thor Developer Kit

NVIDIA introduced the DGX Spark desktop solution for AI development and prototyping, delivering up to 1000 TOPS (FP4) of AI performance a few months ago. The company has now unveiled the Jetson AGX Thor Developer Kit, which looks similar at first, but it’s designed for edge AI and robotics with I/Os for cameras and sensors. The Jetson AGX Thor Developer Kit is equipped with a Jetson T5000 system-on-module with 2070 TOPS (FP4) of AI performance and high-bandwidth 128GB LPDDR5x memory, which delivers over 7.5x higher AI compute than the NVIDIA Jetson AGX Orin, and 3.5x better energy efficiency. A lower-end Jetson T4000 SoM is also in the works with 1200 TFLOPS and 64GB LPDDR5x. Jetson T5000 and T4000 system-on-modules Let’s look at the key features of the Jetson T5000 and T4000 first, noting that any information about the T4000 is still preliminary. Jetson AGX Thor Developer Kit Jetson Thor Developer […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Alif Ensemble E4, E6, and E8 Cortex-M55/A32 MCUs and MPUs feature Ethos-U85 NPU for small language models (SLM)

Alif Ensemble E4, E6, and E8 Cortex-M55/A32 MCUs and MPUs feature Ethos-U85 NPU for small language models (SLM)

Alif Ensemble E4 E6 E8 Ethos U85 MCU small language models

Alif Semiconductor unveiled the Ensemble E4, E6, and E8 dual-core Cortex-M55 Edge AI microcontrollers and fusion processors, all equipped with Arm Ethos-U85 with the ability to run small language models (SLM) on-device while consuming just 36mW of power on the E4 SKU. Besides the ability to handle generative AI workloads, the new microcontrollers also integrate two power-efficient Ethos-U55 NPUs for AI vision. They can perform power-efficient object detection in less than 2ms and image classification in less than 8ms. Other highlights include support for up to two MIPI CSI image sensors, a fully hardware-accelerated image signal processor (ISP) pipeline operating at up to 60 FPS at 2MP resolution, and a new wide memory subsystem to enable an inferencing speed of well under a millisecond. Alif Ensemble E4 Ensemble E4 specifications: CPU High-Performance Arm Cortex-M55 core @ up to 400 MHz High-Efficiency Arm Cortex-M55 core @ up to 160 MHz GPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on NV8600-Nano AI developer kit Review – Part 1: NVIDIA Jetson Orin Nano 8GB devkit unboxing and first boot

NV8600-Nano AI developer kit Review – Part 1: NVIDIA Jetson Orin Nano 8GB devkit unboxing and first boot

NV8600-Nano AI Development Kit review

AAEON has sent me an NV8600-Nano AI developer kit equipped with an NVIDIA Jetson Orin Nano 8GB for review. I’ll start the review with an unboxing to check out the board itself and accessories, before booting it to the preinstalled Ubuntu 22.04 OS (JetPack 6.2). In the second part of the review, I’ll test the board and software in more detail, including some benchmarks and features testing with a focus on AI demos using the provided USB and Raspberry Pi cameras. NV8600-Nano AI developer kit Unboxing I received two packages: one for the NV8600-Nano AI developer kit itself, and a smaller one for a “Full HD Machine USB 2.0 camera”. The exact part number can be found on a sticker: NV8600-KIT-JP620N-A1-1010. It also lists basic information like Orin Nano 8GB, four Ethernet ports, six USB 3.0 ports, two MIPI connectors, a 40-pin GPIO header, CAN Bus and COM ports, and […]