Build 2020: Microsoft announces first cloud vertical with MS Cloud for Healthcare

Yolanda Curtis
May 29, 2020

"Built in collaboration with and exclusively for OpenAI, the supercomputer hosted in Azure was designed specifically to train that company's AI models", the company announced at its virtual "Build 2020" conference on Tuesday. "And then Microsoft was able to build it".

"By providing the right information at the right time, the Microsoft Cloud for Healthcare will help hospitals and care providers better manage the needs of patients and staff and make resource deployments more efficient", Microsoft says in its press materials.

Beyond its partnership with OpenAI, Microsoft has also developed its own large-scale AI models (referred to as Microsoft Turing Models) under its AI at Scale initiative, created to improve language understanding across its product suite. A new class of models developed by AI researchers, however, points to a different way of doing this - using a single, larger and better-performing AI model that can do things like learn from billions of pages of publicly available text.

According to TechCrunch, the device - which also boasts 10,000 GPUs and 400 gigabits per second of network connectivity per server - would need to achieve at least 23,000 teraflops per second to rank as the fifth fastest device.

Turing Models Going Open Source Microsoft has its own large-scale AI models that it is using to improve "language understanding tasks across Bing, Office, Dynamics and other productivity products". The company also debuted the next version of the DeepSpeed open source deep learning library for Pytorch, which should be more efficient than the previous version and reduces computing power for training.

The InterpretML toolkit can provide such insights into AI models, Microsoft claimed. Based on the feedback and excitement of all the customers in the private preview, we are able to deliver Azure Arc enabled Kubernetes in preview to our customers. Thus, the computational power of the machine will be used in projects for the development and maturation of artificial intelligence technology. Fairlearn is another tool for developers that can be used to "assess and improve the fairness of AI systems", such as checking on models that recognize skin-tone, gender or age visual characteristics. One of those is interpretML, which Microsoft launched a while ago, but also the Fairlearn toolkit, which can be used to assess the fairness of ML models, and which is now available as an open-source tool and which will be built into Azure Machine Learning next month.

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