Deep Learning, Simulation and HPC Applications with Docker and Azure Batch

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 Batch enables you to run parallel jobs in the cloud without having to manage the infrastructure. It’s ideal for parametric sweeps, Deep Learning training with NVIDIA GPUs, and simulations using MPI and InfiniBand. Whether you need to run your containerized jobs on a single machine or hundreds or even thousands of machines, Batch Shipyard blends features of Azure Batch — handling complexities of large scale VM deployment and management, high throughput, highly available job scheduling, and auto-scaling to pay only for what you use — with the power of Docker containers for application packaging.  Batch Shipyard allows you to harness…


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