The 120B-Class MoE: An AI Marvel
Why a 120B MoE + i5-13600K + 128GB RAM is the Sweet Spot for Local AI Most people think you need a data center or a $10,000 workstation to run frontier-level AI. The reality is that a new class of models—the 120B-class Mixture-of-Experts (MoE)—combined with smart hardware choices like an i5-13600K and 128 GB of RAM can deliver near-state-of-the-art reasoning locally. Here's why this combination works and why this model architecture is a genuine marvel. The MoE Efficiency Breakthrough Traditional large language models use dense architectures, where every parameter is activated for every single token. A dense 120B model would be impossibly slow on consumer hardware. A MoE model solves this by activating only a small fraction of its total parameters per token. For example, GPT-OSS-120B has approximately 120 billion total parameters, but it activates only about 5.1 billion per token (approximately 4% of its total) . This sparsity is achieved through a learned "router" t...