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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 using the link above to attend and receive the link to the example code and workshop recording.

Related topics

Artificial Intelligence Applications
Machine Learning
Google Cloud
Infrastructure as Code
Kubernetes

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