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开源AI开发商Mistral完成30亿欧元融资
法国AI实验室Mistral AI宣布完成30亿欧元(约34.9亿美元)融资,三星电子领投,Salesforce Ventures、Nvidia和ASML等参与。该轮融资将支持其开源AI模型发展。
AI推荐理由 Mistral完成30亿欧元融资,三星领投,Nvidia等参与,显示开源AI模型商业潜力,对AI模型和产业投资有参考价值。
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更新于美国东部时间2026年9月8日16:36
AI
开源AI开发者Mistral完成30亿欧元融资轮
作者:Maria Deutscher
法国人工智能实验室Mistral AI SAS今天宣布,已筹集30亿欧元(约合34.9亿美元)的资金。
三星电子有限公司领投了这笔投资。另有二十多家支持者参与,包括Salesforce Ventures、Nvidia Corp.和ASML Holdings NV,后者领投了Mistral的上一轮融资。这家初创公司现在的估值超过200亿欧元。
它以其开源大型语言模型系列而闻名。其旗舰LLM Mistral Medium 3.5在流行的编码基准测试中表现优于其数倍大小的算法。该公司还开发更专业的模型。8月,它推出了一种所谓的防护模型,优化用于保护LLM免受恶意提示等任务。
Mistral通过销售其算法的托管云版本赚钱。此外,它还提供开发工具,企业可以使用这些工具构建自己的定制LLM。
Mistral Forge是一项云服务,使开发人员能够生成合成训练数据集。这些是由AI生成的记录组成的文件集合,这些记录难以手动创建。生成数据集后,Mistral Studio可以使用它进行预训练,这是LLM训练工作流程的初始步骤。该工具还管理后续的强化学习阶段,该阶段磨练模型的推理能力。
另一项名为Mistral Studio的云服务使公司能够将其定制LLM转变为AI代理。开发人员可以将代理连接到数据存储库,为其配备系统提示并添加护栏。错误缓解机制使代理能够自动重试首次尝试未完成的操作。
Mistral Studio包括一个所谓的AI注册表。这是一个存储库,开发人员可以使用它来存储他们的AI代理以及数据集、提示和相关资产。版本控制模块可以在代码中发现错误时将代理组件回滚到早期迭代。
该公司将其代理开发工具与一个名为Vibe的预打包代理一起销售。它可以生成代码并自动化非技术性工作,例如创建电子表格。Vibe的主要区别之一在于客户可以在本地运行它,这简化了某些垂直行业的法规遵从性。
Mistral今天透露,它拥有超过125家企业客户。该集团包括ASML、Airbus SE和HSBC Holdings plc等主要品牌。4月,Mistral预测其月收入将在年底达到8000万美元。
该公司将利用其新资本购买用于AI训练项目的计算基础设施。Mistral还计划扩大其国际影响力。
图片:Mistral AI
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查看原文(中文正文为 AI 翻译)
UPDATED 16:36 EDT / SEPTEMBER 08 2026
AI
Open-source AI developer Mistral closes €3B funding round
by Maria Deutscher
French artificial intelligence lab Mistral AI SAS today announced that it has raised €3 billion, or about $3.49 billion, in funding.
Samsung Electronics Co. Ltd. led the investment. It was joined by more than two dozen other backers including Salesforce Ventures, Nvidia Corp. and ASML Holdings NV, which led Mistral’s last round. The startup is now valued at more than €20 billion.
It’s best known for its lineup of open-source large language models. Its flagship LLM, Mistral Medium 3.5, outperforms algorithms several times its size on popular coding benchmarks. The company also develops more specialized models. In August, it debuted a so-called guard model optimized for tasks such as protecting LLMs from malicious prompts.
Mistral makes money by selling managed cloud-based versions of its algorithms. Additionally, it offers development tools that enterprises can use to build their own custom LLMs.
Mistral Forge is a cloud service that enables developers to generate synthetic training datasets. Those are file collections made up of AI-generated records that would be difficult to create manually. After generating a dataset, Mistral Studio can use it to perform pretraining, the initial step of the LLM training workflow. The tool also manages the subsequent reinforcement learning phase, which hones the model’s reasoning skills.
A second cloud service called Mistral Studio enables companies to turn their custom LLMs into AI agents. Developers can connect an agent to data repositories, equip it with system prompts and add guardrails. An error mitigation mechanism enables agents to automatically retry actions that they fail to complete on the first try.
Mistral Studio includes a so-called AI registry. It’s a repository that developers can use to store their AI agents along with datasets, prompts and related assets. A version control module can roll back agent components to an earlier iteration if a bug finds its way into the code.
The company sells its agent development tools alongside a pre-packaged agent called Vibe. It can generate code and automate less technical work such as creating spreadsheets. One of Vibe’s main differentiators is that customers can run it on-premises, which eases regulatory compliance in some verticals.
Mistral disclosed today that it has more than 125 enterprise clients. The group includes major brands such as ASML, Airbus SE and HSBC Holdings plc. In April, Mistral forecasted that its monthly revenue would reach $80 million by year’s end.
The company will use its new capital to purchase computing infrastructure for AI training projects. Mistral also plans to grow its international presence.
Image: Mistral AI
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