A guide walks through deploying GLM-5.2-FP8, an open-source frontier-level language model, on a Dell PowerEdge XE9680 server equipped with eight NVIDIA H200 GPUs providing roughly 1,152 GB of combined VRAM. The model is configured with a 131,072-token context window and deployed through Docker using Dell Enterprise Hub’s optimized container, applying tensor parallelism across all eight GPUs. The deployed model is then connected to the OpenCode agent framework and Hugging Face’s MCP Server to support agentic workflows such as training job orchestration, model evaluation, and automated report generation using the TRL library.
