ChatGPT Emerges as Largest User of Microsoft's Cosmos DB, Highlighting AI's Reliance on Robust Data Infrastructure
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'ChatGPT is Cosmos DB's Largest User'
Microsoft CEO Satya Nadella revealed at the Microsoft AI Tour in Bengaluru that OpenAI's ChatGPT is the largest user of Cosmos DB, Microsoft's database service, designed to build scalable and AI-ready apps. "If you look at ChatGPT, they are some of the biggest users of Cosmos because [it] serves as a stateful application," Nadella said. This underscores Cosmos DB's role in managing extensive real-time interactions and session data required by ChatGPT, a chatbot that handles millions of simultaneous conversations. Nadella emphasised cloud-native databases such as Cosmos DB, SQL Hyperscale, and Fabric for modern AI workloads. He said that AI doesn't sit on its own and, instead, relies on a comprehensive compute stack to function effectively. Cosmos DB's scalable architecture supports high-throughput, low-latency demands during both AI training and inference, thereby ensuring responsive and stateful interactions for applications like ChatGPT. Linking AI's progress to Moore's Law, Nadella noted that scaling laws remain strong for both training and inference and highlighted the significance of test-time compute", where databases like Cosmos DB must handle high-throughput and low-latency demands post-training. He pointed out that merging operational and analytical data in the cloud enables AI-driven apps to access high-volume data reliably and in real time. Nadella attributed ChatGPT's success to the foundational role of databases in AI and said that Cosmos DB integrates operational and analytical data to provide reliable, high-volume access in real time. According to the company, this focus on robust data infrastructure aligns with its broader strategy, including a $3 billion investment in Azure data centres across India, where the aim is to expand global capacity to meet rising AI demands. These investments reinforce Cosmos DB's position as a backbone for next-generation AI applications. At last year's Microsoft Build, the company introduced Microsoft Fabric, real-time intelligence to its AI analytics platform. This update integrated SQL Server into Fabric databases and merged operational and analytical data within a single unified platform.Moreover, the data API builder for Azure Cosmos DB was released to the public. This open-source tool requires no coding to set up secure GraphQL endpoints.
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'ChatGPT is Microsoft Cosmos DB's Largest User'
Microsoft CEO Satya Nadella revealed at the Microsoft AI Tour in Bengaluru that OpenAI's ChatGPT is the largest user of Cosmos DB, Microsoft's database service, designed to build scalable and AI-ready apps. "If you look at ChatGPT, they are some of the biggest users of Cosmos because [it] serves as a stateful application," Nadella said. This underscores Cosmos DB's role in managing extensive real-time interactions and session data required by ChatGPT, a chatbot that handles millions of simultaneous conversations. Nadella emphasised cloud-native databases such as Cosmos DB, SQL Hyperscale, and Fabric for modern AI workloads. He said that AI doesn't sit on its own and, instead, relies on a comprehensive compute stack to function effectively. Cosmos DB's scalable architecture supports high-throughput, low-latency demands during both AI training and inference, thereby ensuring responsive and stateful interactions for applications like ChatGPT. Linking AI's progress to Moore's Law, Nadella noted that scaling laws remain strong for both training and inference and highlighted the significance of test-time compute", where databases like Cosmos DB must handle high-throughput and low-latency demands post-training. He pointed out that merging operational and analytical data in the cloud enables AI-driven apps to access high-volume data reliably and in real time. Nadella attributed ChatGPT's success to the foundational role of databases in AI and said that Cosmos DB integrates operational and analytical data to provide reliable, high-volume access in real time. According to the company, this focus on robust data infrastructure aligns with its broader strategy, including a $3 billion investment in Azure data centres across India, where the aim is to expand global capacity to meet rising AI demands. These investments reinforce Cosmos DB's position as a backbone for next-generation AI applications. At last year's Microsoft Build, the company introduced Microsoft Fabric, real-time intelligence to its AI analytics platform. This update integrated SQL Server into Fabric databases and merged operational and analytical data within a single unified platform.Moreover, the data API builder for Azure Cosmos DB was released to the public. This open-source tool requires no coding to set up secure GraphQL endpoints.
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Microsoft CEO Satya Nadella reveals ChatGPT as the biggest user of Cosmos DB, emphasizing the crucial role of scalable database services in AI applications and Microsoft's strategic investments in data infrastructure.
ChatGPT: Cosmos DB's Largest User
In a revelation that underscores the intricate relationship between AI and data infrastructure, Microsoft CEO Satya Nadella announced that OpenAI's ChatGPT is the largest user of Microsoft's Cosmos DB. This disclosure came during the Microsoft AI Tour in Bengaluru, highlighting the critical role of scalable database services in powering advanced AI applications
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.The Symbiosis of AI and Database Technology
Nadella emphasized that AI doesn't operate in isolation but relies on a comprehensive compute stack. He stated, "If you look at ChatGPT, they are some of the biggest users of Cosmos because [it] serves as a stateful application"
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. This relationship showcases how Cosmos DB manages the extensive real-time interactions and session data required by ChatGPT, which handles millions of simultaneous conversations.Cosmos DB: Powering AI Workloads
Cosmos DB's architecture is designed to support the high-throughput, low-latency demands of modern AI workloads during both training and inference phases. This capability ensures responsive and stateful interactions for applications like ChatGPT
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. Nadella also highlighted other cloud-native databases such as SQL Hyperscale and Fabric, which are crucial for handling contemporary AI tasks.AI Progress and Moore's Law
Drawing a parallel between AI's advancement and Moore's Law, Nadella noted that scaling laws remain robust for both training and inference. He emphasized the importance of "test-time compute," where databases like Cosmos DB must manage high-throughput and low-latency demands post-training
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.Merging Operational and Analytical Data
A key aspect of Cosmos DB's effectiveness is its ability to integrate operational and analytical data. This fusion enables AI-driven applications to access high-volume data reliably and in real-time, a feature that Nadella credits for ChatGPT's success
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.Related Stories
Microsoft's Strategic Investments
Microsoft's focus on robust data infrastructure aligns with its broader strategy, including a $3 billion investment in Azure data centers across India. This investment aims to expand global capacity to meet the rising demands of AI applications
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. These initiatives further solidify Cosmos DB's position as a backbone for next-generation AI applications.Recent Developments in Microsoft's Data Infrastructure
At last year's Microsoft Build event, the company introduced Microsoft Fabric, adding real-time intelligence to its AI analytics platform. This update integrated SQL Server into Fabric databases and merged operational and analytical data within a single unified platform
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. Additionally, Microsoft released the data API builder for Azure Cosmos DB, an open-source tool that simplifies the setup of secure GraphQL endpoints without requiring coding1
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.References
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