GLM5.2 @7tg on 4x3090 + 192GB on budget motherboard + cpu

A user has successfully built a home lab using four NVIDIA GeForce RTX 3090 GPUs, 192GB of overclocked DDR5 RAM, and a budget motherboard, running the GLM5.2 model at 7 teragroups (tg). This setup allows for efficient local execution of various AI models, including MiniMax 2.7 for coding and Qwen3.6 for testing, demonstrating the viability of consumer hardware for AI workloads despite the limitations of non-ECC memory. This approach is significant for practitioners looking to optimize costs while maintaining performance in AI model deployment.