Unverified50% confidenceTradeoffExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Ollama Raises $65M Series B: 85% of Fortune 500 Have Already Deployed Local LLMs
redditr/ollama7/10/2026
Related Claims
UnverifiedEven after quantization, 70B-level models often require more than 40 GB of VRAM or a multi-GPU configuration.77% similarUnverifiedThe 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 H100.77% similarUnverifiedThe model weights alone of a 175-billion-parameter model (in BF16 precision) require 350 GB of storage, and the Adam optimizer must maintain two sets of states—first-order moments and second-order moments—totaling more than 1 TB.71% similarUnverifiedQuantization formats can compress the runtime memory of a 70B-parameter model from 140 GB to under 40 GB.71% similarUnverified对于数十亿参数的SD模型，LoRA文件通常只有10-200MB70% similar
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