A developer has created an open-source tool called `throttle-pro` to accurately measure the cost per million tokens when self-hosting large language models. The tool addresses the common issue of inconsistent performance and cost estimations due to variables like batch size, engine versions, and GPU load. By running multiple tests and establishing a noise floor, `throttle-pro` helps users determine if changes to their setup genuinely reduce costs, rather than attributing savings to random fluctuations. AI
IMPACT Provides a method for self-hosters to accurately track and optimize LLM inference costs.
RANK_REASON The cluster describes a new open-source tool for measuring LLM hosting costs.
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