Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how to manage video memory and optimize execution speed for artificial intelligence models running on local computers with dedicated graphics cards.
Learn how to design high-frequency printed circuit boards using impedance adapters to minimize signal reflections and losses in transmission lines.
Learn how to control temperature and electrical consumption in edge servers powered by ARM processors using native telemetry, dynamic frequency scaling, and thermal bottleneck mitigation in remote environments.
Learn how to build a home and industrial automation laboratory using Raspberry Pi, secure field protocols, and reliable telemetry collection.
Explore the engineering secrets behind high-speed routing for PCIe Gen 4, controlling impedance and minimizing signal reflections.
Learn how to design and assemble a high-density storage server in your home lab using expanded SAS host bus adapters and the ZFS file system for maximum data integrity and redundancy.
Learn how to adapt large language models using QLoRA across mixed hardware environments, combining different graphic cards to cut infrastructure costs without sacrificing performance.
Learn how to accelerate embedded systems development by simulating microcontrollers with QEMU and validating code in continuous integration pipelines without relying on physical hardware.
Learn the technical foundations of building an on-premise environment for training language models. Master the balance between hardware power, cooling, and software efficiency.
Explore essential engineering strategies for designing energy management circuits in low-power IoT devices. Learn how to handle battery drain, load switches, and efficient microcontrollers.
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