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The Strange Economics of LLM Inference-as-a-Service
A widely discussed explain is examining why serving large language models is so economically strange: inference costs scale with every query, margins are thin, and providers like OpenAI, Anthropic, and Google compete on price while GPU costs remain high. Commenters are debating whether inference-as-a-service businesses can be profitable, how pricing models compare, and what this means for the future of AI startups.
Why now: Growing scrutiny of whether AI companies can make money given the high cost of running models
OpenAIAnthropicGoogleNvidiabycloud
Evidence
- The Strange Economics of LLM Inference-as-a-Service · bycloud · 184.2K
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