•1 min read•from InfoQ
AlloyDB Ships Proxy Models That Replace LLM Calls with Local Inference Inside the Database
Google shipped AlloyDB AI functions GA with a proxy model architecture that trains a lightweight local model from LLM outputs, then runs queries at database speed without external calls. Smart batching delivers 2,400x throughput improvement. The proxy model reaches 100,000 rows per second in preview, but benchmark numbers apply only to ai.if in internal testing.
By Steef-Jan WiggersWant to read more?
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Tagged with
#rows.com
#financial modeling with spreadsheets
#google sheets
#AlloyDB
#AI functions
#Proxy Models
#LLM
#Large Language Models
#Local Inference
#Database
#Smart Batching
#Throughput
#Performance
#Google
#ai.if
#Benchmarking
#Query Optimization
#Data Processing
#Internal Testing
#Model Training