[KongchangAI]
Unverified50% confidenceFactExact time

典型的张量并行度通常为2、4或8,受限于单机NVLink带宽,跨节点张量并行代价极高

1
Sources
50%
Confidence
Long-term
Relevance
7/7/2026
First Seen

Sources

非均匀张量并行:NVIDIA提升LLM训练Goodput的容错新方案
rss7/6/2026

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https://kongchang.com/claim/197028
API
curl https://kongchang.com/api/v1/knowledge/claims/197028
MCP
get_claim(id=197028)