Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components
Learn how Salesforce used Amazon SageMaker AI Inference Component placement (the SchedulingConfig parameter) to distribute model copies across multiple Availability Zones, meeting their Multi-AZ high availability compliance requirements without sacrificing the cost efficiency of multi-model co-hosting.
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Qué ocurrió
Learn how Salesforce used Amazon SageMaker AI Inference Component placement (the SchedulingConfig parameter) to distribute model copies across multiple Availability Zones, meeting their Multi-AZ high availability compliance requirements without sacrificing the cost efficiency of multi-model co-hosting.
Por que importa
The development may change operating conditions or market expectations around Amazon. Further confirmation and measurable outcomes matter.
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1 articulos · 1 informe original · 1 independientes
- AWS Machine Learning BlogFuente primaria · Respalda · EN · 100%Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components ↗
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- Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components Observado
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