How to Select and Upgrade RAM for Building an AI Deep Learning PC
The article serves as a detailed guide to help readers choose the right computer RAM for AI and deep learning workstations. It highlights the critical role that RAM plays in ensuring smooth performance, especially when running generative AI models locally. The author explains that, unlike storage drives, RAM is a form of volatile memory that temporarily holds the data needed by the CPU and GPU. This makes it essential for handling large model files and datasets common in AI tasks. One of the central points made in the article is the importance of RAM capacity. While 16GB might be adequate for minimal AI tasks, more serious workloads often require 32GB to 64GB of RAM. For highly demanding applications, especially those involving large models or datasets, 128GB or more may be necessary. In addition to capacity, the article discusses the importance of matching RAM to the system’s form factor—DIMMs for desktop PCs and SODIMMs for laptops—as well as ensuring compatibility with the mother...