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One of the most popular ways to train and serve models is to do AI/ML on Kubernetes. Standing up a Kubernetes environment can be a challenge, but most engineers and data scientists know Python.

We will demonstrate how, with Pulumi, you can deploy a machine-learning platform on GKE and leverage the power of GPUs and CPUs.

Speakers:
Jason Smith, Sr Cloud Customer Engineer, Google
Josh Kodroff, Senior Solutions Architect, Pulumi

Join us to learn:

  • How to deploy a machine learning platform on GKE
  • How to harness the computational power of GPUs and TPUs seamlessly within your AI/ML workflows

Where: Bigmarker at https://pulumip.us/AI-ML-Workflows-on-GKE
Please register at the link above to be able to attend and receive the link to the example code and workshop recording.
Join our other workshop here: https://pulumip.us/UpcomingWorkshops

Related topics

Artificial Intelligence Applications
Google Cloud
Machine Learning In Cloud
Machine Learning with Python
Kubernetes

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