MLTransform Text Embedding Performance

Model: Sentence Transformers — all-MiniLM-L6-v2 Accelerator: CPU only Host: 10 × n1-standard-4 (4 vCPUs, 15 GB RAM)

This batch pipeline reads text lines from GCS, generates sentence embeddings through MLTransform with SentenceTransformerEmbeddings, and writes JSONL results to GCS.

See the glossary for definitions.

Full pipeline implementation is available here.

What is the estimated cost to run the pipeline?

RunTime and EstimatedCost

How has various metrics changed when running the pipeline for different Beam SDK versions?

AvgThroughputBytesPerSec by Version

AvgThroughputElementsPerSec by Version

How has various metrics changed over time when running the pipeline?

AvgThroughputBytesPerSec by Date

AvgThroughputElementsPerSec by Date