The project is designed to keep the US ahead of competing nations, such as China, in AI.
The acquisition can be seen as part of Lenovo’s strategy to support more AI workloads.
The new data centers are likely to be used to train AI models and deploy AI and cloud-based applications.
Oracle says its new Exadata database compute platform will run generative AI workloads faster for the same price as the old version.
More than half of these data centers are expected to be built in the US, Microsoft President Brad Smith said.
The dashboard is designed to offer insights to make migrating to Graviton-based instances easier.
The new updates include the ability to reach customers for outbound campaigns proactively.
With GPUs in short supply, cloud computing providers are increasingly turning to custom chips for specific workloads to deliver more cost-effective computing.
GPUs have become increasingly important for several large software firms such as AWS, Google, and OpenAI, as the demand for generative AI continues to grow steadily.
The service, currently in preview, will allow enterprises to run their real-time AI inferencing applications serving large language models on Nvidia L4 GPUs inside the managed service.
