Dexa
/
Practical AI
Learn more
Follow
Model Deployment Trends
Tuhin discusses the early stage of edge deployments and the intrigue around optimizing models for various hardware. He highlights the experimental phase of research and the potential for models to run efficiently across different platforms.
Add to Radar
Share
In this clip
Tuhin
Daniel Whitenack
From this podcast
Practical AI
Self-hosting & scaling models
Related Questions
What are the challenges of deploying AI as discussed in the episode Daniel Situnayake: AI on the Edge and the clip Streamlining Embedded Machine Learning?