Revolut engineers explain GLM-5.3 vLLM 8-GPU KV cache requirement

Self-hosting the GLM-5.3 AI model with vLLM requires 8 GPUs rather than 4 during long coding sessions because tensor-parallel setups replicate the conversation KV cache across every GPU. Storing this cache on 4 GPUs severely limits available session capacity and prevents the model from launching at its advertised 1-million-token context length. Open article →