{"schema_version":"onlylabs.public_signal.v1","title":"DigitalOcean (GradientAI) Writing: Whats is Batch Inference? 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The costs add up: Gartner forecasts &#x24;2.7 trillion in worldwide AI spending in 2026 and reports that enterprises are asking their providers to help them manage costs. Batch inference is built for exactly this gap. On DigitalOcean, batch requests to OpenAI and Anthropic models cost up to 50% less than real-time rates and run on rate limits separate from your production traffic. Let&#x2019;s explore how batch jobs work, where they pay off, and where they don&#x2019;t, so you can decide when to use them for your AI workloads. Key takeaways : Batch inference runs a large set of AI requests as one asynchronous job, trading an instant response for lower cost and higher throughput. 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