Unverified75% confidenceFactTime unknown
部署DeepSeek-R1 671B MoE模型需要至少数张高端GPU（如H100或A100），显存需求超过320GB
1
Sources
75%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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Related Claims
UnverifiedRunning a 70B model locally requires at minimum a professional GPU with 48GB of VRAM, such as an NVIDIA A6000 or dual RTX 4090 cards.74% similarUnverifiedDeepSeek-R1 32B模型约需20GB以上显存，通常需要专业级显卡或多卡并行72% similarUnverifiedDeploying an open-source model with 70 billion parameters running at FP16 precision requires at least four A100/H100 GPUs with 80 GB of VRAM each, with hardware procurement costs alone exceeding one million yuan.70% similarUnverifiedGPT-OSS 120B需要大于80GB显存（如H100 GPU）才能运行70% similarVerifiedTaking a 70B parameter model with FP16 precision and 32 attention head layers as an example, the KV Cache for a single 200K-length request requires approximately 80–120 GB of VRAM, far exceeding the 80 GB VRAM limit of a single A100 GPU.69% similar
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