Verified65% confidenceFactExact time
Because stateless architecture does not share state between service nodes, it can handle growing load by adding instances and has strong horizontal scalability.
3
Sources
65%
Confidence
Long-term
Relevance
8/29/2026
First Seen
Sources
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Related Claims
UnverifiedThis type of sparse MoE model is suited for high-concurrency serving scenarios, while low-concurrency private deployments may consume a lot of VRAM without being cost-effective.70% similarUnverifiedAvoiding tight coupling to a single provider in architectural design, and accessing multiple models through an abstraction layer or unified gateway, enables rapid switching when prices or performance change.69% similarUnverifiedStateless services are naturally easy to scale horizontally; in a Kubernetes environment, traffic growth can be handled by increasing the number of Pod replicas without needing to consider state migration.68% similarUnverifiedThe stateless design of the API brings the convenience of horizontal scaling—any server can handle any request without session stickiness—but the cost is repeated consumption of bandwidth and tokens.68% similarUnverifiedScale-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.68% similar
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