Moving from cloud dependency to self-hosted, hyperscaled AI infrastructure
In short: Discover how to move beyond standard APIs by containerizing AI models. This video explains how to build a workforce of AI agents and deploy them on your own hardware using Nvidia NIM.
The core mechanism involves using Nvidia NIM to containerize AI models, allowing them to run on any GPU architecture. By integrating with Kubernetes, users can manage these containers to handle diverse workloads efficiently.
This approach enables the creation of a 'futuristic workforce' of AI agents that are self-hosted, providing more control over scaling and infrastructure than traditional cloud-only solutions.
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Sources
- Summary by Intellect · source: How to self-host and hyperscale AI with Nvidia NIM
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