The Metis M.2 card is a high-performance AI inference accelerator designed for constrained, small-footprint devices. Powered by a single quad-core Metis AIPU, it enables state-of-the-art AI capabilities including multi-camera inference and support for multiple independent parallel neural networks. The card offers seamless integration via the Voyager SDK and maintains high prediction accuracy through advanced quantization tools.
This article provides a guide on building a DIY high-end Bluetooth speaker in only 30 minutes using an ESP32 and simple hobbyist components. Using a LILYGO T-Display board, which supports the Bluetooth Classic protocol required for A2DP audio streaming, the project pairs with a MAX98357A module to act as a digital-to-analog converter and amplifier. The setup uses the I2S interface for audio transmission and can even display track information and connection status on the onboard TFT screen. It is an excellent, quick project for electronics enthusiasts looking to repurpose spare parts into a functional, polished audio device.
AMD now supports Google’s Gemma 4 models (2B–31B parameters) across its entire hardware lineup, including Instinct GPUs (datacenters), Radeon GPUs (workstations), and Ryzen AI processors (PCs). The integration is compatible with vLLM, SGLang, llama.cpp, Ollama, and Lemonade Server, aiming to optimize AI performance for both cloud and local deployment.
This article explores the question of whether we've reached a point of diminishing returns in computing power. It notes historical mispredictions about computer demand and highlights the rapid increase in processing capabilities, comparing modern smartphones to 1980s supercomputers. The author discusses how software engineers will always utilize available resources and questions if the continued pursuit of ever-increasing compute power is truly beneficial. It suggests that for many personal projects, existing hardware is more than sufficient, and that the "enough" threshold is highly dependent on individual needs and tasks.
Permacomputing is a concept and community of practice oriented around resilience and regenerativity in computer and network technology, inspired by permaculture. It encourages a sustainable approach to computing, maximizing hardware lifespans, minimizing energy use, and focusing on existing resources.
Raspberry Pi's share price surged after an X post linked the AI agent OpenClaw to increased demand. The article discusses the reasons behind the surge, the current state of Raspberry Pi hardware, and the security concerns surrounding OpenClaw.
A 6502 based laptop design. Specs include a 65C02 running at 8MHz, 46K RAM, BASIC in ROM, 65C22 VIA, 9" display, built-in keyboard, Compact Flash storage, 10000mAh battery, USB-C powered/charged, serial console, and an internal expansion slot. The project details the build process, current status, memory map, and custom BASIC commands.
The RTX 3090 offers a compelling combination of performance and 24GB of VRAM, making it a better choice for local LLM and AI workloads than newer Nvidia Blackwell GPUs like the RTX 5070 and even the RTX 5080, due to VRAM limitations and pricing.
The $69 NanoKVM-USB 4K brings high-res 60 FPS streaming to hobbyists, turning a pro sysadmin tool into a versatile gadget for the homelab. It allows for 4K video streaming and can be used for tasks beyond system administration, such as video playback and even gaming.
Train your neural network in TensorFlow or PyTorch, and run it inside CircuitPython using a single line of Python code.
