Unverified50% confidenceTradeoffExact time
花钱买更多GPU并非解决服务波动的万能药，分布式系统协调成本、网络带宽瓶颈和存储I/O压力往往比算力本身更难突破
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
GPT-5.6发布即预警：算力瓶颈才是大模型真正的考验
Related Claims
UnverifiedBecause Coze cannot deploy large models locally, all online calls consume resource points, making long-term usage costs relatively high and difficult to control.64% similarUnverifiedThe cost-optimal solution is often not a binary choice between pure API or pure self-hosting, but a hybrid strategy—base load handled by an in-house GPU cluster and burst peaks addressed through elastic API scaling.63% similarUnverifiedMoE专家并行架构中不同专家分布在不同GPU上，路由决策需要跨设备的All-to-All通信，该通信开销在高并发时成为系统瓶颈62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/560015API
curl https://kongchang.com/api/v1/knowledge/claims/560015MCP
get_claim(id=560015)