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.
What happened
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.
Why it matters
The development may change operating conditions or market expectations around Amazon. Further confirmation and measurable outcomes matter.
Affected entities
View evidence
1 reports · 1 original report · 1 independent
- AWS Machine Learning BlogPrimary source · Supports · EN · 100%Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components ↗
Claims
- Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components Observed
Conflicts
No material conflict detected in the available evidence.
Timeline
- First reported
Market move following event
Market reaction is not yet available for this asset and time window.