Unverified50% confidenceFactExact time
一个完整的AI推理服务镜像（包含CUDA运行时、PyTorch、vLLM等依赖）体积往往达到20-50GB
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
Panel AI私有化部署实测：一键入企与算力集群统一调度
Related Claims
Unverified考虑KV Cache、激活值和CUDA运行时开销后，7B模型总显存需求轻松突破20GB70% 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.65% similarUnverified单张H100 SXM的设备状态树包含数千个CUDA对象句柄，nvidia.ko驱动维护的内核态数据结构大小可达数GB64% similarUnverifiedRunning LLM models with 7B parameters or above is recommended with more than 16GB of memory and an NVIDIA GPU with CUDA support.63% similar
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