Unverified50% confidenceFactExact time
一个10GB的数据集在Pandas处理过程中可能需要30-40GB的峰值内存
1
Sources
50%
Confidence
Long-term
Relevance
8/6/2026
First Seen
Sources
Related Claims
Unverified大模型推理服务的快照数据量可能达到数十GB甚至上百GB67% similarUnverifiedGPT-OSS 20B运行时内存占用约10GB，显存占用约14.5GB62% similarUnverifiedStoring 100 million 1536-dimensional OpenAI embedding vectors in float32 requires approximately 600 GB of memory, which can be compressed to approximately 150 GB after 8-bit scalar quantization.62% similarUnverifiedFor a typical 70-billion-parameter model, the KV cache occupies approximately 0.5 MB of memory per token, and generating 100,000 tokens requires carrying 50 GB of cache.62% similarUnverifiedA100 80GB通过MIG最多可切分为7个1g.10gb实例（每个约10GB显存），也可切分为2g、3g、4g、7g规格实例61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/694297API
curl https://kongchang.com/api/v1/knowledge/claims/694297MCP
get_claim(id=694297)