Verified75% confidenceFactExact time
Even after quantization, 70B-level models often require more than 40 GB of VRAM or a multi-GPU configuration.
5
Sources
75%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
The Complete Guide to Local LLM Deployment: Tools, Hardware, and Model Selection
hackernewshackernews7/3/2026
Related Claims
UnverifiedThe KV Cache of a 70B-parameter model with 128K context support can require hundreds of gigabytes of VRAM at full load, exceeding the 80GB VRAM capacity of a single H100.82% similarUnverifiedServing this model without further quantization while filling a substantial context requires an 80GB card (a single H100 or H200).80% similarVerifiedQuantization formats can compress the runtime memory of a 70B-parameter model from 140 GB to under 40 GB.78% similarUnverified单个70B参数模型可能占用40GB以上显存，单张A100仅能承载极有限的并发请求77% similar
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