@RayFernando1337: What hardware do I need to fit this monstrosity at a decent token per second?
Summary
A user asks about hardware requirements for serving GLM-5.2 in NVFP4 format, which vLLM now supports with reduced memory footprint and maintained accuracy.
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Cached at: 06/29/26, 02:25 AM
What hardware do I need to fit this monstrosity at a decent token per second?
vLLM (@vllm_project): GLM-5.2 in NVFP4 is ready to serve in vLLM 🚀
@NVIDIAAI’s official NVFP4 checkpoint of GLM-5.2 on Blackwell cuts the memory footprint vs FP8 while matching its accuracy across reasoning, coding, and long-context benchmarks.
Serve it today with: vllm serve nvidia/GLM-5.2-NVFP4
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