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.
Manoj Soni
Senior Software Engineer, Azure Big Compute Team
2016年6月9日
With the introduction of Linux VM support in the Batch service, it's possible to run container-based tasks on Azure Batch with a Docker hub as the packaging and deployment mechanism.
Yiding Zhou
Senior Program Manager, Azure Big Compute Team
2016年3月30日
We are excited to announce a preview of Azure Batch for Linux virtual machines.
Yiding Zhou
Senior Program Manager, Azure Big Compute Team
2016年1月20日
Learn more about multiple new features added to Azure Batch service, including MPI support and node offline capacility.
Yiding Zhou
Senior Program Manager, Azure Big Compute Team
2016年1月14日
Learn how Towers Watson ran an insurance model on 100,000 cores in Azure.
2015年7月9日
I'm excited to announce the general availability of Azure Batch, our job scheduling and compute pool management service. In a world of rapidly evolving products and fierce competition, our goal is to deliver a service that lets you focus more on your applications and less on plumbing.
Alex Sutton
Principal Program Manager, Azure Big Compute Team
2015年7月1日
Microsoft launched the How-old.net demo as part of the keynote presentation at Build2015. We started the demo as a test for 50 users but it went viral with more than 33 million users and 236 million images in less than a week of activity. Very soon, this turned out to be a big data question, and we decided to augment real time with historic data analytics.
2014年11月18日
The Azure Big Compute team is attending SC14 this week, the annual conference for high performance computing and analysis.
Alex Sutton
Principal Program Manager, Azure Big Compute Team