The landscape of AI infrastructure
Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.
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Featuring:
Show Notes:
Our locally installed stuff:
Where we see AI workflows running:
- AWS
- GCP
- Azure
- Kubernetes and KubeFlow
- On-prem workstations:
Experimentation / model development:
- JupyterLab
- Google Colaboratory
- AWS SageMaker
- Data Science platforms:
Pipelining and automation:
Serving:
Monitoring/visibility:
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Creators and Guests
Host
Chris Benson
Cohost @ Practical AI Podcast • Principal AI / Autonomy Research Engineer specializing in fully autonomous UxS swarming with embodied intelligence.
