Giving GLM-5.2 a spin locally on CPU only! (poor man's rig for big models)

The article discusses running the GLM-5.2 model locally on a CPU-only setup using a Dell PowerEdge R740 with dual Xeon 6248R CPUs and 768 GB of RAM. Utilizing the ik_llama.cpp framework for improved CPU inference, the author reports generation speeds of 4 to 5.5 tokens per second with a context size of 1 million tokens, although performance declines with increasing context length. This exploration demonstrates the feasibility of deploying large models on local hardware, highlighting potential advancements in accessibility for practitioners working with AI models.