GLM 5.2: a new rise of open-weight agentic models

This post discusses the increasing adoption and performance of the open-weight GLM 5.2 model, noting its use in intensive research pipelines and as a subagent in complex AI workflows. It highlights the infrastructure requirements for serving such large models at full quality, including significant VRAM and fast GPUs, and positions efficient model serving as the new bottleneck as open-weight models close the capability gap with proprietary ones. It also references a linked post on deploying GLM 5.2 on Lambda, implying infrastructure-level support for these models.