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title
Cloud vs On-Prem LLMs: Long-Term Cost Analysis
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When deploying large language models (LLMs), businesses face a critical choice: cloud-based or on-premise infrastructure. Each option has distinct cost structures, scalability benefits, and maintenance demands. Here’s the key takeaway: Cloud-based LLMs: Offer flexibility with pay-as-you-go pricing but can lead to unpredictable costs, especially at high usage levels. Long-term, they may cost 2–3x more than on-premise setups for large-scale operations. On-premise LLMs: Require significant upfront investment but deliver predictable expenses and potential savings of 30–50% over three years when utilization exceeds 60–70%. Quick Comparison Factor Cloud-Based LLMs On-Premise LLMs Upfront Costs Minimal High (e.g., $833,806 for an H100 system) Long-Term Costs 2–3x higher for high usage 30–50% savings over 3 years with steady workloads Scalability Fast and automatic scaling for variable workloads Slower, requires hardware procurement Maintena...
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