Microsoft wants to use AI to unlock the potential of HPC

By working with its accomplices, Microsoft has made the Azure HPC and AI Collaboration Centers program which subsidizes coordinated efforts with notable foundations with an end goal to create and impart best practices to both the HPC and AI people group.

The product goliath is conveying this program in organization with AMD, Intel and Nvidia thus far five Azure Collaboration Centers are being developed with Duke University, Purdue University, Red Oak Consulting, Numerical Algorithms Group (NAG) and RedLine Performance.

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Microsoft Azure is able deliver differentiated cloud capabilities that are purpose-built for the full spectrum of HPC & AI workloads including the most demanding use cases. However, at the core of the infrastructure are HPC & AI clusters which use HPC-class InfiniBand interconnect with genuine low latency (~1us) and high bandwidth typically around 200Gbps using the latest processor technologies from its partners in the program.

As a result of these performance advantages, Azure is able to show scaling of supercomputer workloads to 12 times more CPU cores than other clouds and to deliver cost-to-solution leadership over other solutions. At the same time, Microsoft has built HPC & AI expertise across the spectrum from engineering teams, to customer engagements to through-life customer support.

The ultimate objective of Microsoft and its accomplices’ new program is to show and share best works on encompassing how Azure HPC and AI capacities can be utilized to open client advancements and profitability.

The Duke University Azure HPC Collaboration Center, in organization with Nvidia, plans to utilize Azure GPU capacities to create customized hemodynamics reproductions abilities in the cloud with the point of improving our arrangement and treatment of coronary bifurcation injuries.

The Purdue University Azure HPC & AI Collaboration Center, in partnership with AMD, will demonstrate best practices for using the Azure HPC cloud to augment on-premises HPC systems such as Purdue’s AMD-based Anvil supercomputer.

The Read Oak Consulting  Azure HPC & AI Collaboration Center, in partnership with Intel, will develop and showcase best practices for building HPC clusters on Azure using the chipmaker’s technology. 

The NAG Azure HPC & AI Collaboration Center, in partnership with Nvidia, will be focused on developing best practices for deploying scalable machine learning.

Finally, the RedLine Performance Azure HPC & AI Collaboration Center, in partnership with Intel, will implement and demonstrate the National Weather Service (NWS) Finite Volume Cubed Sphere Global Forecast System (FV3GFS) workflow on Azure, from the Global Data Assimilation System (GDAS) through post-processing.

Microsoft plans to announce further collaboration centers over the coming months and we’ll likely hear about the advancements being made at the centers that have already been established soon.

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