Microsoft expands its AI partnership with Meta

Mary Jo Foley

Microsoft and Meta are extending their ongoing AI partnership, with Meta selecting Azure as "a strategic cloud provider" to accelerate its own AI research and development. Microsoft officials shared more details about the latest on the Microsoft-Meta partnership on Day 2 of the Microsoft Build 2022 developers conference.

Microsoft and Meta -- back when it was still known as Facebook -- announced the ONNX (Open Neural Network Exchange) format in 2017 in the name of enabling developers to move deep-learning models between different AI frameworks. Microsoft open sourced the ONNX Runtime, which is the inference engine for models in the ONNX format, in 2018.

Today, Meta officials said they'll be using Azure to accelerate research and development across the Meta AI group. Meta plays to use a dedicated Azure cluster of 5400 GPUs using the latest virtual machine (VM) series in Azure (NDm A100 v4 series, featuring
NVIDIA A100 Tensor Core 80GB GPUs) for some of their large-scale AI research workloads. Last year, Meta began using Azure VMs for some of its large-scale AI research, specifically distributed AI training.

The pair also said today that they will collaborate to scale PyTorch adoption on Azure. Last year, Microsoft committed publicly to stepping up its support for enterprise customers that are using Meta's PyTorch deep-learning framework on Azure. I think the new piece here is Microsoft committing to build "in the coming months" new PyTorch development accelerators to facilitate rapid implementation of PyTorch-based solutions on Azure.

AI development has been a big theme at Build this week, with Microsoft announcing a new Arm-based dev kit running on the Qualcomm Snapdragon platform that will be available sometime later this year. One of the biggest claims to fame of the coming "Project Volterra" dev kit is its ability to run AI workloads faster and more efficiently on Arm than on other processors. (Microsoft still hasn't released any tech specs, including information on the processors that will be onboard.)

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