Technical Realization and Economic Benefits of Serverless Architecture
DeepInfra's Serverless architecture design is based on advanced container orchestration technology to achieve elastic scaling of computing resources. Its core technology solutions include second-level model loading, request-level resource allocation and automated load balancing mechanisms.
Analyzing from the cost structure: the platform adopts a precise per-token billing model, which saves 30-50% computing expenses compared with traditional cloud services. The specific billing mechanism contains three dimensions: the number of input tokens, the number of output tokens and the model type coefficient. This design ensures that users only pay for the computing resources they actually use, avoiding the waste of idle resources.
Production environment test data shows: medium-sized enterprise customers adopting DeepInfra reduce their AI computing TCO (total cost of ownership) by an average of 47% and increase resource utilization to over 85%. Compared to self-built GPU clusters, the Serverless solution can reduce O&M labor requirements by 90%.
This answer comes from the articleDeepInfra Chat: experiencing and invoking a variety of open source big model chat servicesThe
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