Can you suggest a foolproof cost allocation tagging strategy to track GPU usage across our machine learning workloads on AWS?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you suggest a foolproof cost allocation tagging strategy to track GPU usage across our machine learning workloads on AWS?
3 real searches · 1 real-search pass
AWS cost allocation tags activate user-defined tags Cost Explorer Cost and Usage Report documentation GPU EC2 resource-level cost allocationGoogle ↗
OBSERVEDReason
AWS EKS cost allocation tags Kubernetes labels split cost GPU workloads Kubecost AWS documentationGoogle ↗
OBSERVEDOther / navigational
Amazon SageMaker cost allocation tags training jobs inference endpoints AWS documentationGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
AWS cost allocation tags activate user-defined tags Cost Explorer Cost and Usage Report documentation GPU EC2 resource-level cost allocation Google ↗
AWS EKS cost allocation tags Kubernetes labels split cost GPU workloads Kubecost AWS documentation Google ↗
Amazon SageMaker cost allocation tags training jobs inference endpoints AWS documentation Google ↗
- Expenditure awareness · docs.aws.amazon.com
- Split Cost Allocation Data for Amazon EKS supports Kubernetes labels · aws.amazon.com
- Split Cost Allocation Data for Amazon EKS supports NVIDIA & AMD GPU, Trainium, and Inferentia-powered EC2 instances · aws.amazon.com
- Using user-defined cost allocation tags · docs.aws.amazon.com
- View costs by Pod in AWS billing with split cost allocation · docs.aws.amazon.com
- Set up enterprise-level cost allocation for ML environments and workloads using resource tagging in Amazon SageMaker · aws.amazon.com
- Organize Amazon EKS resources with tags · docs.aws.amazon.com
- Using the monthly cost allocation report · docs.aws.amazon.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS cost allocation tags activate user-defined tags Cost Explorer Cost and Usage Report documentation GPU EC2 resource-level cost allocation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
AWS EKS cost allocation tags Kubernetes labels split cost GPU workloads Kubecost AWS documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Amazon SageMaker cost allocation tags training jobs inference endpoints AWS documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |