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I wonder if we can use Dataiku's GPU for Deep learning models because my computer does not have.
Hi,
You can use GPUs in Dataiku: https://doc.dataiku.com/dss/latest/machine-learning/deep-learning/runtime-gpu.html
However, you need to have GPUs on your computer or server for Dataiku to use them. If that's not the case, you can rent a managed GPU cloud instance and install DSS on it.
Cheers,
Alex
Hi,
You can use GPUs in Dataiku: https://doc.dataiku.com/dss/latest/machine-learning/deep-learning/runtime-gpu.html
However, you need to have GPUs on your computer or server for Dataiku to use them. If that's not the case, you can rent a managed GPU cloud instance and install DSS on it.
Cheers,
Alex
@heloo ,
Welcome to the Dataiku community. And thank you for this question.
Thank You for your response, I donโt regularly need to the use of a GPU, and my local computer only has built in graphics. Iโm running a DSS design node on this local computer. Is there a way to build a container from within DSS that can be setup to run somewhere in the cloud with a GPU? Rather than having an ongoing expense of a cloud node with a GPU?
Hi @tgb417,
The simplest option is to rent a server in the cloud with GPU, with DSS installed, which you can easily turn on/off for the time you need it.
Else, a more involved setup could be to hook up your local DSS to a Kubernetes cluster with GPU-enabled pods. We support various Kubernetes offerings with GPU images:
- Amazon Elastic Kubernetes Service: https://doc.dataiku.com/dss/latest/containers/eks/unmanaged.html#using-gpus
- Microsoft Azure Kubernetes Service: https://doc.dataiku.com/dss/latest/containers/aks/unmanaged.html#using-gpus
- Google Kubernetes Engine: https://doc.dataiku.com/dss/latest/containers/gke/managed.html#build-a-cuda-enabled-base-image
Yet another option (which is also involved) would be to set up a remote docker daemon on a GPU server: https://doc.dataiku.com/dss/latest/containers/docker.html
Hope it helps,
Alex
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Thank a lot for your answer.