Skip to content

Latest commit

 

History

History
22 lines (15 loc) · 1.05 KB

60-gpu.md

File metadata and controls

22 lines (15 loc) · 1.05 KB
Raw

GPU

Use GPUs to accelerate your Spark applications. When using a GPU enabled Azure VM, your docker image will contain CUDA-8.0 and cuDnn-6.0 by default. See Docker Image for more information about the AZTK Docker images.

[NOTE: Azure does not have GPU enabled VMs in all regions. Please use this link to make sure that your Batch account is in a region that has GPU enabled VMs]

AZTK uses Nvidia-Docker to expose the VM's GPU(s) inside the container. Nvidia drivers (ver. 384) are installed at runtime.

Tutorial

Create a cluster specifying a GPU enabled VM

aztk spark cluster create --id gpu-cluster --vm-size standard_nc6 --size 1

Submit your an application to the cluster that will take advantage of the GPU

aztk spark cluster submit --id gpu-cluster --name gpu-app ./examples/src/main/python/gpu/nubma_example.py

Installation Location

By default, CUDA is installed at /usr/local/cuda-8.0.