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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.

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.

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.

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

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

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