talk-data.com
Activities & events
| Title & Speakers | Event |
|---|---|
|
Live Workshop: Streamlining AI/ML Workflows on GKE with Pulumi
2024-05-29 · 16:00
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:
Join us to learn:
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. |
Live Workshop: Streamlining AI/ML Workflows on GKE with Pulumi
|
|
Live Workshop: Streamlining AI/ML Workflows on GKE with Pulumi
2024-05-29 · 16:00
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:
Join us to learn:
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. |
Live Workshop: Streamlining AI/ML Workflows on GKE with Pulumi
|
|
Live Workshop: Streamlining AI/ML Workflows on GKE with Pulumi
2024-05-29 · 16:00
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:
Join us to learn:
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. |
Live Workshop: Streamlining AI/ML Workflows on GKE with Pulumi
|