Try out Nvidia NIM in the free playground https://nvda.ws/4avifod

Learn how to build a futuristic workforce of AI agents, then self-host and scale them for any workload thanks to Nvidia NIM - a platform that containerizes AI models and runs them on any GPU with Kubernetes. 

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Nvidia NIM https://nvda.ws/4avifod
CUDA in 100 Seconds https://youtu.be/pPStdjuYzSI
Docker 101 https://youtu.be/rIrNIzy6U_g

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🔖 Topics Covered

- How to scale AI models
- How to self-host an AI model
- Nvidia H100 GPU
- Will AI replace humans in the workforce?

Fireship is a YouTube channel created by Jeff Delaney that offers quick tutorials and explanations on web development, programming, and tech trends. Known for the “100 Seconds of Code” and “The Code Report” series, the channel breaks down complex topics in a short, engaging format, covering everything from JavaScript frameworks to emerging technologies.

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Nvidia NIM allows users to self-host and scale AI models using overpowered GPUs like the H100. These models are containerized and include essential APIs for inference and data management, which are deployable on Kubernetes. The tool supports various popular AI models and can be used in different environments, including cloud and local setups. It simplifies the scaling process, drastically reducing development time and making advanced AI accessible even for smaller developers.

How to self-host and hyperscale AI with Nvidia NIM