Does GLM-5.3-Flash AJ-IQ2_XXS fit in the NVIDIA RTX PRO 6000 Blackwell's memory?

Estimate: the AJ-IQ2_XXS file is 87.3 GB and needs about 90.3 GB with an ~8K context; the NVIDIA RTX PRO 6000 Blackwell has about 95.5 GB usable, so it fits.

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GLM-5.3-Flash on the NVIDIA RTX PRO 6000 Blackwell

GLM-5.3-Flash runs at about 69.9 tokens/s on the NVIDIA RTX PRO 6000 Blackwell (measured, AJ-IQ2_XXS, CUDA, llama-bench).

Best measured generation69.9tok/s

AJ-IQ2_XXS · CUDA

The source gives no prompt-processing figure.

For comparison, our size-scaling estimate for this combination is 109 tok/s.

Every run

Quant	Backend	Generate tok/s	Prompt tok/s	Test	Build / by / notes	Source
AJ-IQ2_XXS	CUDA	69.9	–	tg256	Whole model on the card, q8_0 KV cache, flash attention on; llama.cpp from upstream PR #27752 (unmerged at the time). Hand-mixed 2-bit quant. File size 87,346,006,560 bytes as stated by the source.	aj9o9/GLM-5.3-Flash-GGUF model card (Hugging Face)

tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128. "decode, llama-server" = single-stream generation speed measured against a running llama-server (no speculative decoding).

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