Unverified50% confidenceTradeoffExact time
缺少独立 GPU 的设备运行 2B 参数模型时生成速度可能低于每秒 5 个 token
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/25/2026
First Seen
Valid until: 11/23/2026
Sources
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UnverifiedGPU 推理速度通常是纯 CPU 的 5-20 倍，当模型太大无法放入显存时部分层会卸载到内存由 CPU 处理（混合运行/partial offload）76% similarUnverifiedTaking Llama-3 70B as an example, the prefill stage for processing 32K tokens on an A100 80GB GPU takes approximately 800–1200ms, while processing 2K tokens takes only about 50ms.72% similarUnverifiedAirLLM 以推理速度为代价，每生成一个 token 耗时数秒乃至数十秒，远慢于高端 GPU 全量加载的每秒数十 token69% similarUnverified研究《Accelerating Block Low-Rank Foundation Model Inference on Memory-Constrained GPUs》提出基于块低秩分解的方案压缩内存并加速推理69% similarUnverifiedThe GPU multi-level memory hierarchy from highest to lowest is: register file (latency ~1 cycle), shared memory/L1 cache (~32–228 KB, latency ~20–40 cycles), L2 cache (H100 ~50 MB, latency ~200 cycles), and HBM global memory (latency ~500–800 cycles).69% similar
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