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February 19, 2022February 19, 2022

Intel aims to be the performance per watt leader by 2024 with Lunar Lake processors

Apple-designed Arm processors have shown it’s possible to get high-performance at relatively low power, and this has left competitors behind in that regard. But Intel aims to rectify that with the goal of becoming the “performance per watt leader” by 2024 with the new Lunar Lake processors manufactured with Intel 18A process. Intel also provided some details about families following Alder Lake processors with Raptor Lake expected later this year, Meteor Lake and Arrow Lake based on Intel 4 and 20A processes in 2023-2024 2022, and Lunar Lake expected in 2024+. Let’s have a look at what we know so far for each family. Intel Raptor Lake The Raptor Lake processors will rely on the same “Intel 7” process as Alder Lake processors, offer up to double-digit performance boost (translation: up to around 10% in specific workloads), up to 24 cores and 32-threads, better overclocking, support for AI M.2 modules […]

Creality Sermoon S1 3D scanner review with Khadas Mind Graphics 2 NVIDIA GeForce RTX 5060 Ti 16GB dock

June 14, 2026June 14, 2026

Creality Sermoon S1 review – Part 3: 3D scanning with Khadas Mind 2 and NVIDIA GeForce RTX 5060 Ti 16GB dock

At the end of last year, I received a Creality Sermoon S1 high-end 3D scanner for review. After checking the specifications and going through an unboxing in the first part of the review, I used the 3D scanner with an Intel Core i5-13500H laptop with 16GB of RAM running Creality Scan 4 software on Windows 11. The laptop specs were below the minimum hardware requirements (NVIDIA GPU, 32GB RAM), and while I managed to scan a face and bust using infrared mode, it was a struggle with 4 to 5 FPS scanning, and I wasn’t able to use Blue light scanning at all. Luckily, shortly after the review, Khadas informed me they planned to send a Khadas Mind Graphics 2 dock featuring an NVIDIA GeForce RTX 560 Ti 16GB graphics card and a Mind 2 mini PC with 32GB of RAM and an Intel Core Ultra 7 155H 16-core Meteor […]

Select the right hardware for your local LLM deployment with this online guide

When it comes to deploying local LLMs, many people may think that spending more money will deliver more performance, but it’s far from reality. That’s why Sipeed created the “AI Agent Local LLM Inference Device Deployment Guide” hosted on the llmdev.guide website. The website lists common hardware with price, performance (tokens/s), power consumption, and more for various LLMs. If we take Qwen3.5 9B as an example, we can see that $4K+ hardware like NVIDIA DGX Spark or Apple Mac Studio M3 delivers about the same TPS as a machine equipped with a $260 Intel Arc B580 12GB GPU. If money is no object and you’d like the best performance, the NVIDIA GTX 5090 32GB makes the most sense. I reckon the price comparison is imperfect because some data points reflect the price of a complete system, while others only list the price of a graphics card. However, for Qwen 122B-A10B, […]

EXEC Q911 Qualcomm Solution COM HPC Mini Starter Kit

January 26, 2026January 26, 2026

Innodisk EXEC-Q911 COM-HPC Mini kit is powered by a Qualcomm Dragonwing IQ-9075 Edge AI SoC

Innodisk has recently introduced the EXEC-Q911, a COM-HPC Mini starter kit designed for edge AI applications powered by a Qualcomm Dragonwing IQ-9075 System-on-Chip (SoC), also known as the QCS9075, which delivers up to 200 TOPS of AI performance. The platform includes 36GB LPDDR5X memory and 128GB UFS 3.1 storage, supports dual 2.5GbE, two 4-lane MIPI CSI-2 camera interfaces, DisplayPort 1.2 and eDP outputs, and multiple expansion options via M.2 (PCIe Gen4 x4/x2) slots. Designed for industrial applications, it operates in a wide -40°C to 85°C operating temperature range, accepts 9–36V DC input, integrates TPM 2.0 security, and offers various I/Os, USB 3.2 Gen 2, CAN FD, RS-232/422/485, GPIO, SPI, and I²C, with longevity guaranteed until 2038. Innodisk EXEC-Q911 specifications: Compute-on-Module – Innodisk EXMA-Q911 COM-HPC Mini module SoC – Qualcomm DragonWing IQ-9075 CPU Octa-core Kryo Gen 6 (Cortex-A78C-based) application cores @ up to 2.36 GHz Quad-core Cortex-R52 real-time cores @ up […]

December 31, 2025

Year 2025 in Review, CNX Software stats, and looking ahead to 2026

Time for the last post of 2025, as the year is almost over. I’ll look back at key developments and notable products launched in 2025, share some CNX Software website traffic statistics, and look ahead to 2026. Year 2025 in Review After 22 product releases in 2024, Raspberry Pi calmed down a little bit in 2025, and the highlights of the year included the Raspberry Pi 500+ mechanical keyboard, the 5-inch variant of the Raspberry Pi Touch Display 2, and a Raspberry Pi 5 1GB RAM. What didn’t quite stop were the accessories from third parties for Raspberry Pi SBC and Raspberry Pi Pico boards. The most exciting Arm SoC release of 2025 was probably the 12-core CIX P1 Armv9 SoC found in Radxa Orion O6 SBC, MINISFORUM MS-R1 Arm mini PC, and Orange Pi 6 Plus board, but while performance was fine, it was overhyped in 2024, and software […]

Intel N150 SBC Hailo-8L module with Heatsink

December 11, 2025December 14, 2025

UP Squared Pro TWL AI Dev Kit Review – Intel N150 + Hailo-8L accelerator tested on Ubuntu 24.04

I’ve been asked to review three Intel-based UP AI development kits running Ubuntu 24.04 Pro. Last time, I tested the UP TWL SBC with Nx Meta and UP AI Toolkit, and most AI workloads would pass, but since these were running on the Intel N150 CPU or GPU, the performance was not optimal for most. I’ll now switch to the UP Squared Pro TWL “mid-range” AI devkit review with another Intel Processor N150 SBC fitted with a 13 TOPS Hailo-8L M.2 AI accelerator. Both the UP TWL and UP Squared Pro TWL come with a 64GB eMMC flash, and I found out it was rather tight since AI software and models can take a lot of space. The UP Squared Pro TWL has a few M.2 sockets, so I’ll install an NVMe SSD to expand storage before installing the UP AI toolkit. As usual, I’ll run a few benchmarks and […]

November 17, 2025December 14, 2025

UP TWL AI Dev Kit review – Benchmarks, features testing, and AI workloads on Ubuntu 24.04

Earlier this month, I started the review of the Intel-based UP AI development kits with an unboxing of the UP TWL, UP Squared Pro TWL, and UP Xtreme ARL single board computers. I’ve now had time to test the first model, the credit card-sized, Intel Processor N150-based UP TWL SBC with 64GB eMMC flash preloaded with Ubuntu 24.04. As usual, I’ll run a few benchmarks and test the board’s key hardware features, but I’ll then focus on the AI part since that’s what the kit is for. Note that the UP TWL AI Dev Kit is an entry-level solution, and all AI workloads will be running on the CPU or the integrated GPU, since there’s no dedicated AI accelerator or an M.2 slot to add one on this model. In the next parts of the review, the UP Squared Pro TWL adds an Hailo-8L AI accelerator, and the UP Xtreme […]

November 1, 2025December 14, 2025

Review of Intel-based UP AI development kits – Part 1: Unboxing and first boot to Ubuntu Pro 24.04

AAEON sent me three Intel-based UP AI development kits for review, namely the credit card-sized, Intel N150-based UP TWL, the Intel N150-based UP Squared Pro TWL with M.2 expansion slots and a Hailo-8L module, and the more powerful UP Xtreme ARL equipped with a 14-core Intel Core Ultra 5 225H processor. They offer entry-level, mid-range, and high-end x86-based alternatives to the AAEON NV8600-Nano AI developer kit I reviewed last August, equipped with an NVIDIA Jetson Orin Nano 8GB. All three models ship with Ubuntu Pro 24.04 and support the UP AI Toolkit and Network Optix’ Nx Meta IP video management platform. I’ll review all three models independently, but in this first part, I’ll go through the hardware and quickly try one of the boards. Unboxing Those are development kits that ship with not only the board, but also the same USB VGA camera provided with the NV8600-Nano kit, power supplies, […]