英伟达发布GLM-5.2 NVFP4量化版，744B MoE推理编码模型
英伟达把GLM-5.2压缩成NVFP4，内存省一大截，推理编码在Blackwell上直接跑，SGLang第一时间就能用。
英伟达与智谱AI合作，发布了基于GLM-5.2的NVFP4量化检查点。
该模型为744B参数混合专家架构（40B活跃参数），专注于推理和编码任务。NVFP4量化通过NVIDIA Model Optimizer实现，在降低内存占用的同时保持前沿推理性能。
模型还支持稀疏注意力和IndexShare索引器，实现高效长上下文处理。目前已在Blackwell/Grace Blackwell上通过SGLang提供首日支持。
🎉 NVIDIA just released an NVFP4 checkpoint of GLM-5.2 from @Zai_org, a 744B MoE (40B active) for reasoning & coding. Day-0 support is live in SGLang! 🤝 @nvidia
> NVFP4 quantization via NVIDIA Model Optimizer: frontier-class reasoning at a fraction of the memory > Sparse attention with IndexShare indexer for efficient long-context > Ready to serve on Blackwell / Grace Blackwell, run it now with SGLang!
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include GLM-5.2, NVFP4, NVIDIA, SGLang.
Source attribution: curated from LMSYS Org (SGLang) (@lmsysorg). Cross-source corroboration: 6 independent sources have covered this development (including vLLM, Geek, AWS Machine Learning Blog), confirming industry-wide signal strength.
