The Engine Powering Open-Source AI

The Engine Powering Open-Source AI

47分钟 ·
播放数69
·
评论数1

Elena Burger and Matt Bornstein are joined by Simon Mo, co-founder and CEO of Inferact, the open-source inference engine powering many of today's most advanced AI applications. Together, they explore how open-source AI evolved from a research project into critical infrastructure, why inference has become one of the most important layers of the AI stack, and what it takes to bring frontier intelligence to developers around the world.

The conversation covers vLLM's origins, the rise of open-weight models, why companies increasingly want control over their AI infrastructure, and how open-source inference enables the next generation of AI applications. They also discuss model licensing, the economics of open-weight AI, Kimi K3, distillation, AI infrastructure, and why Simon believes the gap between open and closed models is rapidly disappearing.

 

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展开Show Notes
这期从 vLLM 的诞生聊到开放权重模型的崛起,拆解推理层为何成为 AI 基础设施的关键,也谈企业掌控技术栈、模型许可与蒸馏的现实考量。想理解开放模型如何追赶封闭模型,以及下一代应用会建立在什么底座上,很值得一听。已有中文配音版:Vol.32 驱动开源AI的引擎