Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Learn how pruning and sparsity techniques accelerate artificial intelligence model execution on edge devices by eliminating irrelevant weights without significant accuracy loss.
Learn how to monitor and control graphics card temperatures and performance on remote servers using IPMI and automation tools to prevent overheating and downtime.
Learn how to implement a microcontroller-based system with PID algorithms to regulate switched-mode power supplies in homelabs, reducing energy waste and optimizing thermal efficiency.
Learn how to build robust power telemetry in your homelab using Modbus RTU energy meters, serial converters, and SNMP monitoring integrated into modern dashboards.
Learn how to build efficient environmental data collection architectures using edge nodes, I2C buses, and local data aggregation to save bandwidth.
Learn how to build an efficient thermal monitoring and frequency scaling routine for homelab servers using IPMI controllers and custom telemetry scripts.
Learn how dynamic weight quantization reduces memory consumption in edge language models, enabling advanced artificial intelligence directly on smartphones and IoT devices.
Learn how to optimize the electrical power consumption of your home server using CPU frequency governors. Reduce your electricity bill without sacrificing performance.
Explore how DPDK eliminates packet bottlenecks in virtualized edge routers, enabling high-speed network processing without relying solely on traditional operating systems.
Learn how to keep edge controllers operating at safe temperatures without sacrificing computational performance using smart PWM frequency modulation for cooling.
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