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Enterprise Open-Source AI Spending Drops to 11%, Yet Dominates Production Environments

GateNews
AI Industry News
According to Decagon CEO Jesse Zhang, as monitored by Beating, enterprise open-source AI spending currently accounts for just 11% of total large model expenditure, as most companies remain in early-stage exploration with closed-source models. However, in Decagon's own production environment, 90% of inference calls have already switched to open-source models, driven by requirements for low latency and deep fine-tuning capabilities. Zhang notes that as use cases mature, open-source models will increasingly take over production environments due to superior customization and response speed—critical for customer service scenarios where 8-second response delays degrade user experience.
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