What are the best practices for scaling LLM inference infrastructure on AWS without doubling our monthly cloud hosting bills?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for scaling LLM inference infrastructure on AWS without doubling our monthly cloud hosting bills?
3 real searches · 1 real-search pass
AWS EC2 accelerated computing instances Inferentia Trainium G6 P5 instance families official AWS 2026Google ↗
OBSERVEDComparison
AWS SageMaker real-time inference autoscaling GPU inference cost optimization official documentationGoogle ↗
OBSERVEDOther / navigational
AWS Bedrock provisioned throughput on-demand inference pricing optimization prompt caching officialGoogle ↗
OBSERVEDOther / navigational
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 EC2 accelerated computing instances Inferentia Trainium G6 P5 instance families official AWS 2026 Google ↗
AWS SageMaker real-time inference autoscaling GPU inference cost optimization official documentation Google ↗
AWS Bedrock provisioned throughput on-demand inference pricing optimization prompt caching official Google ↗
- Accelerated computing · aws.amazon.com
- Amazon EC2 FAQs · aws.amazon.com
- Inference cost optimization best practices · docs.aws.amazon.com
- Real-time inference · docs.aws.amazon.com
- Prompt caching for faster model inference · docs.aws.amazon.com
- Inference optimization for Amazon SageMaker AI models · docs.aws.amazon.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS EC2 accelerated computing instances Inferentia Trainium G6 P5 instance families official AWS 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
AWS SageMaker real-time inference autoscaling GPU inference cost optimization official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
AWS Bedrock provisioned throughput on-demand inference pricing optimization prompt caching official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |