The largest acquisition in the AIGC field: Databricks acquired MosaicML for US$1.3 billion, with 60 employees after only 2 years of establishment

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Databricks CEO said: "The deal aims to connect enterprise data and services and help them build their own cheaper language models."

Organize | Meng Yidan 

Listing | CSDN (ID: CSDNnews)

Big data giant Databricks announced the acquisition of artificial intelligence startup MosaicML for $1.3 billion. This is also the largest acquisition announced in the field of AIGC this year.

After the acquisition, MosaicML will become part of the Databricks Lakehouse platform. MosaicML's entire team and technology will be brought under the umbrella of Databricks, providing enterprises with a unified platform to manage data assets and the ability to use their own proprietary data to build, own and protect themselves generative AI models.

Ali Ghodsi, CEO of DataBricks, said that the acquisition of MosaicML will further enhance DataBricks' data analysis platform, enabling it to better support generative AI technology. He believes that generative AI will play an important role in future data analysis and applications.

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Source: MosaicML

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2 years old, MosaicML with only 62 employees

MosaicML was founded by Naveen Rao, former head of artificial intelligence products at Intel, co-founder of Nervana Systems, and Hanlin Tang, senior director of Intel AI Labs.

It is worth noting that MosaicML is a start-up company focused on generative AI. It was founded in San Francisco in 2021 with only 62 employees. Shortly after its establishment, it received US$37 million in financing from well-known venture capital DCVC, Lux Capital, Future Ventures and other investors. Its valuation was US$220 million, and the valuation of the acquisition of MosaicML directly jumped 6 times.

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MosaicML CTO Hanlin Tang (left) with CEO Naveen Rao, founding advisor Michael Carbin and chief scientist Jonathan Frankle. Source: MOSAICML

According to Naveen Rao, co-founder and CEO of MosaicML, since 2018, the complexity of AI models trained with large amounts of data has risen sharply, and training a model now costs at least millions of dollars. Small and medium-sized enterprises generally cannot afford it.

MosaicML is mainly oriented to the TO B side, aiming to reduce the overhead of enterprise training AI systems, and provide an AI training platform that allows enterprises to train and deploy AI models in a safe environment, and can also customize models based on company data.

Since OpenAI released ChatGPT in November last year, people's enthusiasm for generative AI technology has been wave after wave. Companies like OpenAI license ready-made language models to enterprises, and then enterprises build generative AI applications based on these models, so , as the commercial needs of the market increase, opportunities are created for startups like MosaicML because they can provide similar artificial intelligence models at a lower cost.

Prior to this, Neeva, a generative AI search startup founded by former Google employees, was acquired by cloud data platform Snowflake, a young company focused on AI enterprise search. After joining Snowflake, Neeva will help service enterprise customers use AI to quickly search and analyze data points, data assets, and gain data insights.

Reference link:

https://www.wsj.com/articles/databricks-strikes-1-3-billion-deal-for-generative-ai-startup-mosaicml-fdcefc06

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Origin blog.csdn.net/dQCFKyQDXYm3F8rB0/article/details/131447307