A shared machine learning model and dataset hosting platform that has recently collaborated with industry players such as AMD, NVIDIA, and VMware.hugging face, earlier received large investments from Google, Amazon, AMD, NVIDIA, IBM and Salesforce.
In this D round of financing, Hugging Face receivedApproximately US$2.35 million in funding, increasing its market valuation to $45 billion. Hugging Face CEO Clement Delangue explained that the investment will expand the company's current 170-person team and continue to expand its open-source AI models and platform development.
At the same time, this investment also highlights that more technology companies are paying more and more attention to the application and development of artificial intelligence models, frameworks, and datasets in the open source community. In particular, with the increasing demand for automatically generated artificial intelligence technology applications, more developers and companies are inclined to build artificial intelligence application services through open source architecture model frameworks.
In the recent cooperation with VMware, Hugging Face not only cooperated with VMware to createAn auxiliary tool called SafeCoder, allowing enterprises and developers to generate program codes through natural language, and also proactively check whether the program codes are incorrect, thereby speeding up the efficiency of enterprises in deploying application services in the cloud.
In addition, VMware and NVIDIA's Private AI Foundation with NVIDIA has also integrated Hugging Face's hosted open source AI model framework, allowing enterprises to more confidently use open source model frameworks to train AI and create diverse, automatically generated AI application services.
