Microsoft and Oracle Join Forces to Revolutionize Bing Searches with AI
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Microsoft and Oracle Join Forces to Revolutionize Bing Searches with AI

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7 months ago

Microsoft and Oracle enhance Bing with a groundbreaking AI partnership as the former tackles security challenges. Read more on CT.

Microsoft and Oracle Join Forces to Revolutionize Bing Searches with AI
  • Microsoft and Oracle collaborate to enhance Bing with Azure AI and OCI Supercluster, targeting advanced conversational search capabilities.
  • The partnership leverages thousands of GPUs and a multiterabit network to meet the computational demands of Bing's AI inferencing.
  • Raising concerns about app store safeguards, Microsoft addresses security after a fake Ledger Live app breach results in significant cryptocurrency theft.
Microsoft and Oracle have announced an extended partnership to enhance Bing's conversational search capabilities, which have recently become available to the public. This collaboration involves the integration of Microsoft's Azure AI with Oracle's Cloud Infrastructure (OCI) Supercluster, a service bolstered by Nvidia GPUs and launched as part of Oracle's foray into generative AI, focusing on the development of large language models (LLMs).
The OCI Supercluster's capabilities are set to augment Microsoft's inferencing of AI models, a process crucial for the continuous optimization of Bing's conversational searches. Inferencing allows AI systems to make predictions or draw conclusions based on their learned information. The Oracle Interconnect for Microsoft Azure plays a pivotal role in this process, enabling Microsoft to utilize services like Azure Kubernetes Service (AKS) to manage OCI Compute resources at a scale necessary for Bing's growing conversational search demands.

The infrastructure required for Bing's conversational search is substantial, necessitating thousands of compute and storage instances and tens of thousands of GPUs operating in unison over a multiterabit network. This requirement underscores the computational intensity and sophistication needed for real-time, accurate search result analysis.

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