Stereolabs ZED Box Mini “Super” Launches with NVIDIA Jetson Orin Nano/NX SoMs for Vision AI and Robotics
https://www.electronics-lab.com/stereolabs-zed-box-mini-super-launches-with-nvidia-jetson-orin-nano-nx-soms-for-vision-ai-and-robotics/
Stereolabs has unveiled the ZED Box Mini “Super”, a compact and affordable vision AI mini PC (ECU) designed for robotics and smart infrastructure. It’s powered by the NVIDIA Jetson Orin Nano or NX system-on-module and includes dual GMSL2 camera inputs with synchronization trigger I/O, enabling precise, high-performance AI vision applications. Available in four configurations—from Orin […]
DeepSeek-R1-Distill-Qwen-1.5B AI Model Deployed on Rockchip RK3588 SoC Using RKLLM Toolkit
https://www.electronics-lab.com/deepseek-r1-distill-qwen-1-5b-ai-model-deployed-on-rockchip-rk3588-soc-using-rkllm-toolkit/
DeepSeek R1, the latest AI model from China, is gaining attention for its advanced reasoning capabilities. Built on the DeepSeek-V3 base model and trained using large-scale reinforcement learning (RL), DeepSeek R1 excels in solving complex problems in math, coding, and logic, positioning itself as a competitor to AI giants like OpenAI. To enable hardware-accelerated inference, […]
NVIDIA DGX Spark – Personal AI Supercomputer with Blackwell GPU and Arm CPU for Developers and Researchers
https://www.electronics-lab.com/nvidia-dgx-spark-personal-ai-supercomputer-with-blackwell-gpu-and-arm-cpu-for-developers-and-researchers/
The NVIDIA DGX Spark is a compact, power-efficient AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip, delivering 1000 AI TOPS of performance at FP4 precision. Designed for AI developers, researchers, and data scientists, it enables prototyping, fine-tuning, and inferencing AI models with up to 200 billion parameters locally. It supports AI workloads, data science, […]
SOMDEVICES µSMARC RZ/V2N SoM with Renesas RZ/V2N processor, LPDDR4, Wi-Fi 5, BT 5.1, USB 3.2, and Gigabit Ethernet for AI Vision
https://www.electronics-lab.com/somdevices-%c2%b5smarc-rz-v2n-som-with-renesas-rz-v2n-processor-lpddr4-wi-fi-5-bt-5-1-usb-3-2-and-gigabit-ethernet-for-ai-vision/
SOMDEVICES has introduced the µSMARC RZ/V2N, a compact System-on-Module (SoM) based on the Renesas RZ/V2N processor. It follows the micro SMARC (µSMARC) form factor, measuring 82x30mm—significantly smaller than the standard 82x50mm SMARC modules. The µSMARC RZ/V2N integrates a quad-core ARM Cortex-A55 CPU, an ARM Cortex-M33 microcontroller, and an NPU delivering up to 15 TOPS. It […]
IMDT V2N SoM and SBC Feature Renesas RZ/V2N MPU and DRP-AI3 Accelerator for Vision-Based Edge AI Computing
https://www.electronics-lab.com/imdt-v2n-som-and-sbc-feature-renesas-rz-v2n-mpu-and-drp-ai3-accelerator-for-vision-based-edge-ai-computing/
IMDT expands its Edge AI portfolio with the IMDT V2N SOM and IMDT V2N SBC, following the success of its V2H-based solutions. Powered by the Renesas RZ/V2N processor, these platforms deliver cost-effective, energy-efficient solutions for AI-driven vision applications in robotics, smart cities, industrial automation, IoT, and smart retail. The RZ/V2N features a quad-core Arm Cortex-A55 […]
Vicharak Axon SBC features RK3588, 8GB RAM, 4K Graphics, and 6 TOPS NPU for AI Applications
https://www.electronics-lab.com/vicharak-axon-sbc-features-rk3588-8gb-ram-4k-graphics-and-6-tops-npu-for-ai-applications/
Vicharak recently introduced the Axon—AI Edge Single Board Computer (SBC), a compact yet powerful computing device designed for AI, graphics, and multi-display workflows. Built around the RockChip RK3588 the Axon platform is a high-performance computing system powered by the RockChip RK3588 processor, featuring an 8-core CPU (4x Cortex-A76 + 4x Cortex-A55) clocked up to 2.4GHz […]
The NV8600-Nano AI Developer Kit Combines an Expanded Carrier Board Design with Preinstalled AI Optimization Software Package
https://www.electronics-lab.com/the-nv8600-nano-ai-developer-kit-combines-an-expanded-carrier-board-design-with-preinstalled-ai-optimization-software-package/
NVIDIA Jetson Orin Super Mode, a Raspberry Pi MIPI camera bundle, and full-function I/O simplifies the development, deployment, and management of Edge AI applications. AAEON’s UP brand, a leading provider of professional developer boards, has announced the release of the NV8600-Nano AI Developer Kit, available exclusively on the company’s UP Shop. Comprised of an NVIDIA® […]
Olimex introduces Open-source hardware i.MX 8M Plus SoM with EVB for Edge AI, Multimedia, and Industrial IoT
https://www.electronics-lab.com/olimex-introduces-open-source-hardware-i-mx-8m-plus-som-with-evb-for-edge-ai-multimedia-and-industrial-iot/
Olimex has recently launched the iMX8MP-SOM-4GB-IND, an open-source hardware System on Module (SoM), certified under OSHW UID BG000136. It is powered by the i.MX 8M Plus (MIMX8ML8CVNKZAB) processor, featuring a quad-core Cortex-A53 (1.6GHz), Cortex-M7 (800MHz), HiFi4 DSP, and a 2.3 TOPS NPU, making it ideal for machine learning, vision applications, multimedia, and industrial IoT. The […]
Silicon Labs showcased Low-Power EFR32BG22L and EFR32BG24L Bluetooth Wireless SoCs for BLE and IoT Applications
https://www.electronics-lab.com/silicon-labs-showcased-low-power-efr32bg22l-and-efr32bg24l-bluetooth-wireless-socs-for-ble-and-iot-applications/
Silicon Labs is preparing to launch the EFR32BG22L and EFR32BG24L, low-power wireless System-on-Chip (SoC) solutions from Silicon Labs designed for Bluetooth Low Energy (BLE) and IoT applications. The EFR32BG22L features a 38.4 MHz ARM Cortex-M33 core, up to 352 kB flash, 24 kB RAM, and a 2.4 GHz radio with up to 6 dBm TX […]
Axelera AI Unveils Metis M.2 AI Accelerator with PCIe Gen3 x4 Interface for Edge AI Applications
https://www.electronics-lab.com/axelera-ai-unveils-metis-m-2-ai-accelerator-with-pcie-gen3-x4-interface-for-edge-ai-applications/
The Metis M.2 AI Edge Accelerator, developed by Axelera AI, is a high-performance AI inference module designed for constrained devices. It features a Metis AIPU (AI Processing Unit) with 1 GB DRAM, supporting PCIe Gen3 x4 for fast data transfer. With a peak INT8 performance of 214 TOPS and power consumption ranging from 3.5W to […]