AWS · AI & Machine Learning
AI/ML Model Inference Pipeline
CloudFront and API Gateway feeding Lambda preprocessor to EKS GPU inference cluster backed by ElastiCache and S3. This diagram is written in ArchLex and passes AWS provider checks.
Diagram and source
provider aws
direction LR
validation normal
cdn: cloudfront
gateway: api-gateway
preprocessor: lambda
inference_cluster: eks
feature_store: elasticache
model_bucket: s3
cdn > gateway > preprocessor
preprocessor -[invokes]->|submits inference| inference_cluster
inference_cluster -[reads]->|feature data| feature_store
inference_cluster -[reads]->|model artifacts| model_bucketWhat is in this diagram.
Resources
- cdn Amazon CloudFront
- gateway Amazon API Gateway
- preprocessor AWS Lambda
- inference_cluster Amazon EKS
- feature_store Amazon ElastiCache
- model_bucket Amazon S3
Relationships
- cdn connects gateway
- gateway connects preprocessor
- preprocessor invokes inference_cluster
- inference_cluster reads feature_store
- inference_cluster reads model_bucket
Render it yourself.
Save the source as ai-ml-inference.arch and render it with the CLI, or ask your agent to adapt it through the ArchLex MCP server.
npx @archlex/cli render ai-ml-inference.arch --output ai-ml-inference.svgRelated examples.
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