Bing conversational search requires powerful clusters of computing infrastructure that support the evaluation and analysis of search results that are conducted by Bing’s inference model. Bing is leveraging advancements in AI to provide a dramatically better search experience for people across the world.

To this end, Microsoft is using Oracle Cloud Infrastructure (OCI) AI together with Microsoft Azure infrastructure to create models that are optimized for Bing conversational search. With Oracle Interconnect for Azure, Microsoft is able to use managed services such as Azure Kubernetes Service (AKS) to orchestrate large-scale OCI computing to support the growing demand for conversational search.

Bing conversational search requires powerful clusters of computing infrastructure that support the evaluation and analysis of search results through the Bingэ’s inference model.

OCI Superclusters include OCI Compute Bare Metal instances, ultra-low latency RDMA cluster networking, and a choice of HPC storage. OCI Superclusters can scale up to 4,096 OCI Compute Bare Metal instances with 32,768 A100 GPUs or 16,384 H100 GPUs, and petabytes of high-performance clustered file system storage to efficiently process massively parallel applications.

Oracle Interconnect for Microsoft Azure provides organizations with a simple path to a multicloud environment that includes OCI AI infrastructure and Oracle Database capabilities such as Oracle Exadata Database Service, Autonomous Database, and MySQL HeatWave. Customers can innovate using the best of OCI and Azure with seamless interoperability. This ensures flexible innovation and maximum return on investment. The cost of the solution depends on the port and does not require additional payment for the consumed bandwidth.

Detailed information on purchasing Oracle solutions can be obtained by emailing oracle@muk.group.