Yotta Labs(@YottaLabs):Self-hosting a 753B model sounds absurd until you see what it actually takes. GLM 5.2 is open weights under MIT with a 1M context. The FP8 checkpoint needs about 744 GB of VRAM, which is one 8x H200 node. One vLLM command with tensor parallel 8 and you've got an OpenAI-compatible endpoint your existing code already works with. Biggest mistake: serving the full 1M context by default. Cap it at what you actually use and you get your batching memory back.

Yotta Labs

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가입 May 2024

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Yotta Labs@YottaLabs

2026.07.06 14:23

Self-hosting a 753B model sounds absurd until you see what it actually takes. GLM 5.2 is open weights under MIT with a 1M context. The FP8 checkpoint needs about 744 GB of VRAM, which is one 8x H200 node. One vLLM command with tensor parallel 8 and you've got an OpenAI-compatible endpoint your existing code already works with. Biggest mistake: serving the full 1M context by default. Cap it at what you actually use and you get your batching memory back.