# AI推理公司Baseten据报以130亿美元估值融资15亿美元

- 来源：TechCrunch：AI（RSS）
- 作者：Dominic-Madori Davis
- 发布时间：2026-06-19 05:20
- AIHOT 分数：64
- AIHOT 链接：https://aihot.virxact.com/items/cmqk190v60229slhis7zfcf6k
- 原文链接：https://techcrunch.com/2026/06/18/ai-inference-startup-baseten-reportedly-raising-1-5b-months-after-its-last-mega-round

## AI 摘要

AI推理公司Baseten接近完成15亿美元融资，估值130亿美元，据《华尔街日报》报道。本轮为分价轮，部分投资者以130亿美元估值进入，部分以110亿美元。交易由Spark Capital、Sands Capital、Altimeter Capital和Wellington Management联合领投。五个月前该公司刚完成3亿美元E轮融资（估值50亿美元），再之前九个月完成1.5亿美元D轮。Baseten成立于2019年，致力于快速推理并通过路由请求至最优低成本开源模型来控制成本，受益于“推理淘金热”。

## 正文

In Brief

Posted:

2:20 PM PDT · June 18, 2026

Image Credits:Nuthawut Somsuk / Getty Images

Dominic-Madori Davis

AI inference startup Baseten reportedly raising $1.5B months after its last mega round

AI inference company Baseten is close to finalizing a stunning $1.5 billion funding round at a $13 billion valuation, the WSJ reports. Just five months ago, the startup announced that it had raised a $300 million Series E at a $5 billion valuation. And that round was just nine months after raising a $150 million Series D.

If finalized, this latest round would represent a 160% increase in valuation in less than half a year. However, the WSJ reports that this is a split-priced round, a tactic startups are using to boost their headline valuation and make lead investors look good on paper. Some investors in this latest funding round are reportedly coming in at a $13 billion valuation, while others at $11 billion, sources told the Journal. This deal is said to be co-led by Spark Capital, Sands Capital, Altimeter Capital, and Wellington Management.

Launched in 2019, Baseten is a startup benefiting from what The Next Wave hailed the “inference gold rush,” in which VCs are pouring enormous amounts of money into companies building the inference layer. Inference is what the model does after a user submits a prompt. Baseten promises to handle inference quickly while controlling costs by routing requests to the best-for-task model, especially to competent, less-expensive open source alternatives.

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