Optimizing GPU Utilization: A Combinatorial Optimization Problem In deep learning, GPUs are not always “fully loaded”. Even with powerful graphics cards (such as the RTX 5070 Ti, A100, etc.), it is common to see GPU utilization rates as low as 20–40%. This low utilizationis not due to the model being too small, but rather because … Read more
✦₊ Click the card above to follow for more updates 🌷 This article details the complete process of compiling ESP-IDF in a Windows environment using WSL2, setting up the ESP32-P4 development environment, and ultimately achieving the on-board LED white light flashing. This demonstration uses the latest WT9932P4-TINY development board, which is equipped with the ESP32-P4 … Read more
“Ubuntu, supported by commercial companies, addresses the pain point of the open-source community’s “free but unguaranteed” model, and now occupies a major share of the global web service market. From Debian to Ubuntu, it has become the successor to the mainline tasks of Unix-like systems.” Review of Unix-like OS 1. Mainline tasks of Unix-like OS: … Read more
Whether you are building your first machine learning model or delving into complex neural networks, the WSL2 + Ubuntu virtualization platform provides a perfect starting point for both AI beginners and seasoned experts, offering essential tools and abundant resources to support your AI journey. Table of Contents 1. Installing the AI Practice Virtualization Platform 2. … Read more
CLion has several remote development options, each tailored to specific setups: Remote development using JetBrains Gateway Remote development with local sources WSL2 Docker (running locally) Two variants of gdbserver/lldb-server debugging: remote debugging (GDB/LLDB) and remote GDB server (GDB only). The following is a summary of the remote development options, which can be decided based on … Read more