Five techniques to reach the efficient frontier of LLM inference

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Five techniques to reach the efficient frontier of LLM inference

This matters because modern data teams are expected to simplify tooling, govern transformation, and deliver analytical products faster with less operational overhead.

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Cloud & AI

Five techniques to reach the efficient frontier of LLM inference

This matters because modern data teams are expected to simplify tooling, govern transformation, and deliver analytical products faster with less operational overhead.

GC • Mar 27, 2026

GCPAnalytics EngineeringModern Data StackAILLM

Every dollar that you spend on model inference buys you a position on a graph of latency and throughput. On this plot is a curve of optimal configurations, where you've squeezed the maximum possible performance from y...

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A cloud-native analytics workflow that provisions BigQuery and storage with Terraform, ingests market data with Python, and tests warehouse models with dbt and GitHub Actions.

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Five techniques to reach the efficient frontier of LLM inference

GCP Modern Data Stack

Open the Tech Radar

Five techniques to reach the efficient frontier of LLM inference

Five techniques to reach the efficient frontier of LLM inference

Follow this signal into proof and strategy

GCP Modern Data Stack

Agentic Data Pipeline With MCP

Data Governance And Quality Framework

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