Azure Batch for oil and gas
2018年3月12日
High performance computing (HPC) helps oil and gas companies accelerate ROI and minimize risk.
2018年3月12日
High performance computing (HPC) helps oil and gas companies accelerate ROI and minimize risk.
2017年11月14日
Today, we're excited to announce support for Singularity containers in the latest Batch Shipyard release. Singularity is a container solution amenable to both administrators and users of shared HPC and cluster computing environments, while still providing access to accelerators such as GPUs and specialized interconnects in container contexts...
2017年10月4日
Azure Distributed Data Engineering Toolkit - a open source python CLI tool that allows you to provision on-demand Spark clusters and submit Spark jobs directly from your CLI.
2017年3月16日
We are excited to announce doAzureParallel – a lightweight R package built on top of Azure Batch, that allows you to easily use Azure’s flexible compute resources right from your R session.
2016年9月22日
The Azure Big Compute team is happy to announce version 1.0.0 of the Batch Shipyard toolkit, which enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure…
2016年7月21日
We are happy to announce the release of MPI support for Linux on Azure Batch. We earlier released MPI support for Windows, and recently introduced Linux support on Azure Batch.
2016年3月30日
We are excited to announce a preview of Azure Batch for Linux virtual machines.
2016年3月22日
As promised, we’ve been hard at work porting preview features to the generally available, production-ready Batch service. We’re excited to announce two of the most popular features, Application Packages and Task Dependencies are now available.
2015年11月16日
As our customers bring their workloads to the cloud to take advantages of scale on-demand, without the overhead of managing infrastructure, they ask if Microsoft can support them with Linux. The answer is yes.
2015年8月12日
Azure Data Factory is a cloud-based data integration service for data movement and transformation using fully managed data flow pipelines.