Microsoft is committed to developing a new network card specifically designed for the Maia AI server chip. This move aims to not only improve the performance of Maia but also reduce reliance on the industry leader NVIDIA, thereby further optimizing the Azure cloud experience. Led by Pradeep Sindhu, co-founder of Juniper Networks, this project aims to create a solution comparable to NVIDIA's ConnectX-7 card. Although the development cycle is expected to exceed one year, with the strong investment from Microsoft in OpenAI, successful implementation is expected to bring significant gains to Microsoft Azure, especially when combined with Azure Boost technology. OpenAI is also expected to benefit from this innovation, as the cost and time of training large language models on Microsoft servers may be significantly reduced. This aligns with Microsoft's overall strategy of integrating OpenAI technology into various products, such as the newly released Sora model combined with Copilot, to consolidate its position in the competitive AI software market. The addition of Azure Boost will further strengthen this advantage, providing Azure users with more powerful and efficient AI services. Last year, Microsoft successfully acquired Fungible, a company specializing in data processing units (DPUs), which is expected to further enhance its strength in the data center infrastructure field. Fungible's expertise and technology are expected to play a crucial role in the development of the new network card. In summary, Microsoft aims to enhance performance and reduce reliance on NVIDIA by developing a network card specifically designed for the Maia AI chip. This not only demonstrates Microsoft's ambition to achieve more self-sufficiency in the AI hardware field but also has the potential to reshape the competition landscape with NVIDIA, profoundly impacting the entire AI industry and propelling the Azure platform towards a more powerful and competitive future.