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July 26, 2024July 26, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

T2-U WiFi and Bluetooth development board supports the Tuya Smart Home framework

The T2-U is a development board compatible with the Tuya Smart Home framework that features a WiFi and Bluetooth module with a 120 MHz RISC processor, some buttons, an LED indicator, GPIOs, power, and a USB-to-serial chip. In 2019, we covered Tuya as a one-stop Smart Home solution allowing companies to easily design and manufacture home automation devices from electronics to the enclosure. For example, the company provides a customizable 4-inch Android touch control panel & Zigbee gateway as well as the Tuya Link SDK allowing customers to further customize the firmware of their Smart Home devices, but I had yet to see a development board compatible with Tuya. T2-U development board specifications: Wireless module – T2-U SoC – Unnamed 32-bit RISC MCU @ 120 MHz with 2 MB flash and 256 KB RAM Wireless Wi-Fi 802.11b, 802.11g, and 802.11n wireless standard. Channels 1 to 14 at 2.4 GHz. Security […]

June 23, 2024June 25, 2024 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Radxa Fogwise Airbox AI box review – Part 2: Llama3, Stable Diffusion, imgSearch, Python SDK, YOLOv8

After checking out Radxa Fogwise Airbox hardware in the first part of the review last month, I’ve now had time to test the SOPHGO SG2300x-powered AI box with an Ubuntu 20.04 Server image preloaded with CasaOS as well as Stable Diffusion and Llama3 containers. I’ll start the second part of the review by checking out the pre-installed Stable Diffusion text-to-image generator and Llama3 AI chatbot, then manually install imgSearch AI-powered image search engine in CasaOS web dashboard, test the Python SDK in the command line, and run some AI vision models, namely Resnet50 and YOLOv8. Radxa Fogwise Airbox OS installation Radxa only provided an Ubuntu Server 20.04 image last month with only the basics pre-installated. The company has now improved the documentation and also made two images available for the Radxa Fogwise Airbox: Base image (1.2GB) – Based on Ubuntu Server 20.04; contains only Sophon base SDK and backend. Full […]

June 19, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

ESWIN EIC7700X quad-core RISC-V SoC embeds 19.95 TOPS NPU for Edge AI vision applications

Yesterday we noted Sipeed was working on the LM5A system-on-module powered by ESWIN EIC7700X quad-core RISC-V processor with a ~20 TOPS AI accelerator in order to integrate it into its Lichee Book laptop and other carrier boards. So today, I’ve decided to look into the EIC7700X SoC designed by “BEIJING ESWIN COMPUTING TECHNOLOGY CO., LTD”, or ESWIN for shorts. The EIC770X features four 64-bit RISC-V (RV64GC) cores clocked up to 1.8 GHz, unnamed 3D and 2D GPUs, a 19.95 TOPS NPU, H.265/H.264 video encoder/decoder capable of handling up to 32x 1080p30 videos, various video output (HDMI + DSI) and input interfaces, dual GbE, 4-lane PCIe Gen 3, and more. ESWIN EIC7700X specifications: CPU 4x SiFive Performance P550 RV64GC RISC-V cores @ 1.4GHz (up to 1.8GHz) with Cortex-A75-class performance 32KB(I) + 32KB(D) L1 Cache 256KB L2 Cache 4MB shared L3 Cache Cache supports ECC (support SECDED) DNN Accelerator – 19.95 […]

June 17, 2024June 18, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Cavli C17QS Cat 1.bis cellular IoT and GNSS module offers more memory, global support, a new FreeRTOS SDK

Cavli C17QS Cat 1.bis cellular IoT module with FreeRTOS SDK

Cavli Wireless C17QS is a Cat 1.bis cellular IoT and GNSS module that builds up on the Qualcomm QCX216-powered C16QS Cat 1.bis Cellular IoT module introduced last year, with more memory (2MB RAM) and storage (8MB flash), a wider range of LTE bands, multi-band (L1 and L5) GNSS, and a new FreeRTOS SDK for more flexibility compared to the C16QS. The Cavli C17QS Cat 1bis module is designed around a Qualcomm QCX217 Arm Cortex-M3 microcontroller clocked at up to 306MHz clock speed and running FreeRTOS real-time operating system. The module features a range of interfaces including UART, USB 2.0, USIM, SWD, ADCs, I2S, I2C, SPI, and GPIO pins. The new module is pin-to-pin compatible with the C16QS module for easier design upgrades. Cavli C17QS specifications: Wireless IC – Qualcomm QCX217 Arm Cortex-M3 @ 306 MHz, cellular modem-RF Memory – 2MB RAM Storage – 8 MB flash Cellular connectivity LTE CAT […]

May 29, 2024May 29, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

picoLLM is a cross-platform, on-device LLM inference engine

Large Language Models (LLMs) can run locally on mini PCs or single board computers like the Raspberry Pi 5 but with limited performance due to high memory usage and bandwidth requirements. That’s why Picovoice has developed the picoLLM Inference Engine cross-platform SDK optimized for running compressed large language models on systems running Linux (x86_64), macOS (arm64, x86_64), and Windows (x86_64), Raspberry Pi OS on Pi 5 and 4, Android and iOS mobile operating systems, as well as web browsers such as Chrome, Safari, Edge, and Firefox. Alireza Kenarsari, Picovoice CEO, told CNX Software that “picoLLM is a joint effort of Picovoice deep learning researchers who developed the X-bit quantization algorithm and engineers who built the cross-platform LLM inference engine to bring any LLM to any device and control back to enterprises”. The company says picoLLM delivers better accuracy than GPTQ when using Llama-3.8B MMLU (Massive Multitask Language Understanding) as a […]

May 23, 2024May 23, 2024 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

EdgeCortix SAKURA-II Edge AI accelerator deliver up to 60 TOPS in an 8W power envelope

SAKURA-II M.2 and PCIe Edge AI accelerators

EdgeCortix has just announced its SAKURA-II Edge AI accelerator with its second-generation Dynamic Neural Accelerator (DNA) architecture delivering up to 60 TOPS (INT8) in an 8Watts power envelope and suitable to run complex generative AI tasks such as Large Language Models (LLMs), Large Vision Models (LVMs), and multi-modal transformer-based applications at the edge. Besides the AI accelerator itself, the company designed a range of M.2 modules and PCIe cards with one or two SAKURA-II chips delivering up to 120 TOPS with INT8, 60 TFLOPS with BF16 to enable generative AI in legacy hardware with a spare M.2 2280 socket or PCIe x8/x16 slot. SAKURA-II Edge AI accelerator SAKURA-II key specifications: Neural Processing Engine – DNA-II second-generation Dynamic Neural Accelerator (DNA) architecture Performance 60 TOPS (INT8) 30 TFLOPS (BF16) DRAM – Dual 64-bit LPDDR4x (8GB,16GB, or 32GB on board) DRAM Bandwidth – 68 GB/sec On-chip SRAM – 20MB Compute Efficiency – […]

May 21, 2024May 21, 2024 by Debashis Das - 1 Comment

Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

Just last month at Embedded World 2024, Qualcomm announced its RB3 Gen 2 Platform based on the QCS6490 processor with Cortex-A78 and A55 processing cores and 12 TOPS of AI power. Building on this, Avnet has recently launched the Avnet AI Vision Development Kit, also based on the QCS6490 SoC. The kit includes a dual camera setup, Gigabit Ethernet connectivity, USB-C Power Delivery, and a host of other features for applications like inventory and asset monitoring, drone/UAV/other mobile vision-AI edge compute applications, and multi-camera security systems with recognition. Previously we have written about similar AI dev kits including Allwinner V853 100ASK-V853-Pro, Sipeed Maix-III devkit, RZBoard V2L, and many other AI vision development boards feel free to check those out if you are interested in the topic. Avnet AI Vision Development Kit specifications SM2S-QCS6490 SMARC Compute Module: CPU – 4x Arm Cortex-A78 (up to 2.7 GHz), 4x Arm Cortex-A55 (up to […]

May 20, 2024 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Matter 1.3 specification adds support for water and energy management, electric vehicle chargers, and various household appliances

The Connectivity Standard Alliance (CSA) has just announced the release of the Matter 1.3 specification and SDK with energy reporting, support for water and energy management devices, electric vehicle chargers, several new “major appliances”, namely various kitchen appliances and laundry dryers, and various other features. As a reminder the Matter protocol was initially introduced several years ago under the name Project CHIP to improve the interoperability of Smart Home devices from various vendors, so for example, users could connect a Matter-compatible Philips Hue light bulb to a Samsung gateway, or a white-brand Matter sensor with Google Home, etc… Matter started to pick last year with several products launched, and Paisit notably reviewed the MINI Extreme Wi-Fi Smart Switch (MINIR4M), the first Matter device from SONOFF, last October. Matter 1.3 adds various new capabilities and devices. Matter 1.3 highlights: Support for Water and Energy Management Devices Energy Management – Matter 1.3 […]