NVIDIA Runs 753-Billion-Parameter GLM-5.3 Across Two DGX Stations

An NVIDIA demonstration ran the 753-billion-parameter GLM-5.3 NVFP4 model across two connected DGX Stations, showing how local inference can serve a model whose weights exceed one GB300 GPU’s memory. The model needs about 464 GB of GPU memory for its weights, compared with 252 GB of HBM3e memory on a single GB300 GPU. GLM-5.3 has 753 billion parameters in total and activates 40 billion for each token it generates. The model uses a mixture-of-experts design, so the full set of weights must remain available as tokens are routed to different experts.