No insurance company should keep on-premises compute grids for actuarial computing. In the past, resistance to the cloud went along these lines: the cloud has a lack of data security, the cloud is expensive, and no one has experience with the cloud.
Today, we continue to see customers leveraging Azure to push through new frontiers in high performance and accelerated computing. From Neuroiniative’s quest to accelerate drug discovery for Parkinson’s and Alzheimer’s diseases to EFS’s building of self-driving car technologies, a vast number of customers are leveraging Azure for breakthrough innovation.
What do you do when your networking powers 60 percent of the HPC systems on the Top500 supercomputer list and you have 70 percent market share for 25G and faster network adapters? You continue to push the boundaries of performance to keep your position. But developing high-speed, low-latency networking gear is not an easy process, and you need to have an efficient IT infrastructure to hold your mission.
High performance computing (HPC) helps oil and gas companies accelerate ROI and minimize risk.
AZTK lets you to provision on-demand GPU enabled Spark clusters on top of Azure Batch's infrastructure, helping you take your high-performance GPU code and distribute it across your Spark cluster.
Imagine reducing your training time for an epoch from 30 minutes to 30 seconds, and testing many different hyper-parameter weights at the same time. Available now in public preview, Batch AI is a new service that helps you train and test deep learning and other AI or machine learning models with the same scale and flexibility used by Microsoft’s data scientists.
The latest version of Bright Cluster Manager gives customers the ability to easily build an HPC cluster on Azure, or to extend their existing on-premises HPC cluster to Azure.
doAzureParallel's second major release comes with full support for low-priority VMs, letting R users run their R jobs on Azure’s surplus compute capacity at up to an 80% discount. In addition to this capability, we are introducing new features to the package to let users take advantage of Azure Batch’s flexible infrastructure for parameter tuning, data-prep/ETL, and simulation.
TIBCO DataSynapse released the High Performance Cloud Computing (HPCC) Adapter to extend the functionality of GridServer 6.2.0 and enable customers to temporarily increase their compute capacity in Azure.
We are happy to announce the release of the newest version of Microsoft MPI (MS-MPI). MS-MPI v8 is the successor to the Microsoft MPI v7.1 redistributable package (released in June 2016).