Unverified80% confidenceFactTime unknown
70B参数模型权重从网络存储传输到GPU显存需要数分钟时间
1
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Claims
UnverifiedOn a 10 Gbps network, downloading 140 GB of 70B model weights takes approximately 2 minutes74% similarVerifiedRunning a 7B parameter model requires at least 8GB of VRAM, while a 70B parameter model requires a professional-grade GPU.71% similarUnverifiedA 70B parameter model quantized with Q4_K_M occupies approximately 40GB of storage, and can achieve an inference speed of 10–20 tokens per second on an RTX 4090 with CPU memory offloading.70% similarUnverifiedIf the quantized model weights are 150 GB, reading the weights once at a bandwidth of 273 GB/s takes approximately 0.55 seconds, giving a theoretical single-token generation speed of approximately 1.8 tokens/s (excluding computation latency and cross-node communication overhead).66% similarUnverifiedGPU上下文切换需保存完整GPU状态（包括寄存器文件、共享内存和L1缓存），数据量可达数百MB，而CPU上下文切换仅需保存几KB66% similar
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