Unverified50% confidenceFactExact time
Scale-out distributes requests by increasing the number of server nodes with load balancing, has a higher scaling ceiling, and can be completed without interrupting service; scale-up is limited by single-machine hardware specifications and typically requires downtime.
1
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50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCommon measures to alleviate the difficulty of sudden server scaling include using managed platforms with automatic elastic scaling such as Railway, Fly.io, and Render, introducing message queues to decouple high-concurrency writes, and setting reasonable concurrency limits for WebSocket connections with graceful degradation handling.71% similarUnverified本地大模型部署中，显存容量往往不是主要瓶颈，带宽和互联延迟才是关键限制因素69% similarVerifiedBecause stateless architecture does not share state between service nodes, it can handle growing load by adding instances and has strong horizontal scalability.68% similarUnverifiedJoining an offtake network typically imposes strict requirements on hardware configuration, network bandwidth, and uptime, and the onboarding costs and management complexity are relatively high.66% similar
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