Verified75% confidenceFactExact time

A 35B model requires approximately 70GB of VRAM at FP16 precision, far exceeding the RTX 5090's 32GB capacity, so single-GPU deployment requires quantization.

5

Sources

75%

Confidence

Long-term

Relevance

7/20/2026

First Seen

Sources

Handwritten C/CUDA Inference Engine: Pushing Qwen 35B to the Limits on RTX 5090

Related Claims

Verified一个原本需要60GB显存的30B参数模型，经过量化后能在16GB甚至8GB显存的消费级显卡上运行82% similar VerifiedA 70B-parameter FP16 model requires approximately 140 GB of video memory, approximately 70 GB after INT8 quantization, and approximately 35–40 GB after INT4 quantization.82% similar

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