The Information website reported thatMeta seems to be facing huge cost pressure in the current competition in the development of artificial intelligence technology. It even sought funding from Microsoft, Amazon and other companies in 2024 to train its Llama large natural language model.
To address this cost issue, Meta has proposed a partnership agreement called the "Llama Consortium" to attract more potential investors to participate in Llama's future feature development. However, this partnership has not yet attracted sufficient funding.
Although Meta competes with Amazon, Microsoft, Google and other companies in the artificial intelligence market, it also collaborates to make its Llama large-scale natural language model available on platforms such as AWS SageMaker, Microsoft Azure AI Foundry, and Google Vertex AI, creating a situation where Meta is both a competitor and a market partner.
However, compared to Amazon, Microsoft, and Google, which have been able to implement their own AI technologies into their own services for large-scale commercial use, Meta's current profits from AI technology clearly cannot keep up with the costs behind Llama's large-scale AI model training, and therefore must seek additional funding.
And from Meta’s recent announcementLlama 4 Scout and Llama 4 Maverick models, and even announced that it would launch Behemoth with a larger parameter scale, and claimed that it would provide execution performance. However, after actual third-party testing, it was found that the actual performance was not even as good as Meta's previously launched Llama 3.1, and in some cases it could not be compared with Google's Gemma 3 27B model, which aroused many market doubts.
