Unverified50% confidenceFactExact time
大模型推理速度往往不受限于算力（FLOPS），而受限于内存带宽；PCIe 4.0 x16理论带宽约32GB/s，GPU显存带宽（GDDR6X约1TB/s）相差30倍以上
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
Redis之父如何将2840亿参数DeepSeek塞进普通笔记本
Related Claims
Verified分层加载导致推理速度受限，其根本原因是 PCIe 总线带宽（PCIe 4.0 理论带宽约 32GB/s）远低于 GPU 内部显存带宽84% similarVerifiedPCIe 4.0 x16的理论带宽约为32GB/s78% similarVerifiedThe 3080 Ti has a memory bandwidth of 912 GB/s, far exceeding the 16–32 GB/s PCIe bus bandwidth between CPU and GPU.77% similarUnverifiedPCIe 4.0 x16 bandwidth is approximately 64GB/s, and each transfer requires an explicit cudaMemcpy call, which is a significant bottleneck in latency-sensitive inference scenarios.77% similarUnverifiedFull-precision video diffusion model inference typically requires a GPU with more than 24 GB of VRAM, whereas 0.4MP with 10-step Turbo acceleration may reduce VRAM requirements to the 12–16 GB level.76% similar
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