Raspberry Pi sent me a sample of their AI HAT+ 2 generative AI accelerator based on Hailo-10H for review. The 40 TOPS AI accelerator is advertised as being suitable for LLMs (Large Language Models) and VLM (Vision Language Models), while delivering about the same performance as the first-generation AI HAT+ (Hailo-8) for AI vision/computer vision models. After going through an unboxing, I’ll assemble the AI HAT+ 2 to a Raspberry Pi 5 with 2GB of RAM fitted with a Raspberry Pi Camera Module 3, before quickly checking whether AI vision models work as expected, and spending more time on testing LLM and VLM samples. Raspberry Pi AI HAT+ 2 unboxing My sample had a somewhat long and rough trip from the UK to Thailand, and the package did not look that good when DHL delivered it. But luckily, nothing was damaged, and I got the AI HAT+ 2 with a […]
Raspberry Pi AI HAT+ 2 targets generative AI (LLM/VLM) with Hailo-10H accelerator
The Raspberry Pi AI HAT+ 2 is an add-on board based on the 40 TOPS Hailo-10H AI accelerator with 8GB of dedicated on-board RAM that brings generative AI capability to Raspberry Pi 5. While it delivers similar computer vision performance as the first-generation Hailo-8-based Raspberry Pi AI HAT+, the AI HAT+ 2 also adds support for large language models (LLMs) and vision-language models (VLMs) running locally without the need for Internet access. Target applications include offline process control, secure data analysis, facilities management, and robotics. Raspberry Pi AI HAT+ 2 specifications: AI accelerator – Hailo Hailo-10H AI accelerator delivering 40 TOPS (INT4) inferencing performance Performance for computer vision models comparable to the Raspberry Pi AI HAT+ (26 TOPS) 8GB on-board RAM Host interface PCIe Gen3 x1 FPC connector to Raspberry Pi 5 40-pin GPIO header (no signal used by the Hailo-10H, it only extends the GPIO header on the Pi) […]
reComputer Industrial R2135-12 review – A Raspberry Pi CM5-powered fanless Edge AI PC with Hailo-8 AI accelerator
Hello, today I am going to review the reComputer AI Industrial R2135-12 from Seeed Studio. This is an industrial edge computer built around the Raspberry Pi Compute Module 5 platform. The model is configured with 8 GB LPDDR4 memory and 32 GB eMMC storage. It provides a rich set of I/O options, including dual Gigabit Ethernet, USB 3.0/USB 2.0, HDMI output, and industrial interfaces such as RS-485/RS-232, CAN, and GPIO, along with Wi-Fi and Bluetooth support and a wide DC power input range suitable for industrial environments. In addition to standard checking and benchmarking the device, I will also include a hands-on demo application in which the system runs an AI model for real-time people detection from a USB camera, then sends detection results to an external ESP32 microcontroller to drive LED matrices for visually highlighting the locations of detected people. I made the following YouTube video to quickly demonstrate […]
AMD Embedded+ mini-ITX Board features Ryzen AI Embedded P132 CPU, Versal AI Edge Gen2 VE3558 SoC FPGA
At CES 2026, Sapphire Technology introduced the EDGE+VPR-7P132, an “AMD Embedded+” Mini-ITX motherboard built around AMD’s newly announced Ryzen AI Embedded P100 series of SoCs, namely the hexa-core Ryzen P132 (V4526iX) CPU, and an AMD Versal AI Edge Gen 2 VE3558 SoC FPGA, which features octa-core Arm Cortex-A78AE + ten Cortex-R52 real-time cores beyond FPGA fabric. It’s the first AMD Ryzen AI Embedded motherboard we’ve seen. It represents a massive update from last year’s Edge+ VPR-5050 motherboard, which relied on Zen 2-based Ryzen Embedded V2000 series and first-generation Versal silicon. The new VPR-7P132 skips multiple generations, jumping straight to Zen 5 CPU cores and RDNA 3.5 graphics, with an upgraded Versal Gen 2 adaptive Edge AI SoC for real-time inference, along with faster LPDDR5 (4266MHz) memory and 40 Gbps USB4 connectivity. SapphireTech EDGE+ VPR-7P132-MB specifications: AMD Embedded+ Architecture Adaptive SoC Subsystem Adaptive SoC – AMD Versal AI Edge Gen 2 […]
MUSE Book laptop review – Testing an octa-core RISC-V Linux laptop in 2026
SpacemiT sent me a sample of the MUSE Book RISC-V Linux laptop for review. It’s based on the SpacemiT K1/M1 octa-core 64-bit RISC-V SoC, ships with up to 16 GB of RAM, eMMC flash and/or NVMe SSD, and features a 14.1-inch IPS display with 1920×1080 resolution, WiFi 6 connectivity, a few USB ports, and more. I won’t go through all the hardware specifications since Leo already did that when he wrote about the MUSE Book Laptop in April 2024, along with a teardown, and additional details about the SpacemiT K1/M1 SoC. I’ll still do an unboxing and quickly check the hardware, but I’ll focus on the software part to show the progress with Bianbu OS 2.3 (Ubuntu 24.04-based) on RISC-V hardware, as I just did for the low-end StarFive JH7110S-based VisionFive 2 Lite SBC. It’s quite a long review, so if you are short on time, you can jump directly […]
Reolink Floodlight 4K Smart PoE and WiFi 6 security cameras add on-device LLM for natural language video search
Reolink has introduced the Elite Floodlight WiFi and Elite Pro Floodlight PoE, two new 4K security cameras with high-resolution video, integrated floodlights, PoE support (on the Pro model), and an on-device Large Language Model (LLM), which enables natural-language video search instead of basic object detection. We have reviewed various Reolink cameras over the years, such as the Argus PT Ultra, Reolink TrackMix PoE, and the RLC-810A, which features “Smart Detection” to the edge, allowing the camera to distinguish between people, vehicles, and pets without sending data to the cloud. However, they are limited to those fixed categories, and if you wanted to find something specific, like a “red shirt” or a “delivery truck,” you still had to scroll through the timeline manually, or rely on a networked video recorder (NVR). Reolink is now trying to solve that by integrating a Large Language Model (LLM) directly into their new Elite Floodlight […]
Cincoze MD-3000 is a scalable DIN-Rail computer with up to 14th Gen 24-core Intel Core i9-14900 CPU
Cincoze MD-3000 is a high-performance, scalable DIN-Rail computer powered by a 12th, 13th, or 14th Gen Intel processor and designed to be expanded with up to six modules through the company’s “Scalable Expansion Deck” (SED) connected to the computer’s PCIe x16 slot. Based on an up to a 14th Gen 24-core Intel Core i9-14900 Raptor Lake-S Refresh CPU, the MD-3000 supports up to 96GB DDR5 SO-DIMM memory with optional ECC, up to two M.2 NVMe SSDs, and a 2.5-inch SATA bay, and is equipped with two 4K-capable DisplayPort connectors, five Gigabit Ethernet ports, four USB 3.2 ports, an RS232/RS485 DB9 connector and more. It mainly targets vision-driven smart manufacturing applications. Cincoze MD-3000 specifications: SoC (One or the other) 14th Generation Intel Raptor Lake-S Refresh Series – 35W Intel Processor 300T dual-core CPU @ 3.4 GHz, up to 65W Intel Core i9-14900 24-core CPU @ 5.8 GHz; 20 SKUs available 13th […]
VisionFive 2 Lite SBC Review – Ubuntu 24.04 on a low-cost RISC-V SBC in 2026
StarFive has sent me a sample of the VisionFive 2 Lite RISC-V SBC for review. It’s a low-cost credit card-sized board based on the StarFive JH7110S quad-core RISC-V SBC and designed to get started with Linux RISC-V on the cheap. When I first tested the earlier VisionFive 2 SBC with a StarFive JH7110 RISC-V SoC in February 2023, I didn’t call it a review, but rather a hands-on experience, since, at the time, many features still didn’t work properly. Almost three years have passed since then, so reviewing the VisionFive 2 Lite SBC with Ubuntu 24.04 will allow us to see how much progress has been made on the software side. If you are in a rush, you can jump to the what works, what doesn’t section. VisionFive 2 Lite unboxing I received the board in a plastic box with a cover reading “VisionFive 2 Lite Your Gateway to RISC-V”. […]

