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The End of Moore's Law for AI? Gemini Flash Offers a Warning
Run LLM batch jobs in hours, not days, at a fraction of the cost.
In this article, we’ll break down how LLM providers actually price their services, explore why Google likely made this unprecedented move, and discuss what this new economic reality means for anyone building with AI. The Economic Case for Batch & Open Source is Stronger Than Ever: If the cost of real-time inference from proprietary providers has a hard floor, then the relative savings from alternative architectures become much larger. By embracing batch processing and leveraging the power of cost-effective open-source models, you can sidestep the price floor and continue to scale your AI initiatives in ways that are no longer feasible with traditional APIs.
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