NVIDIA’s Kari Briski on How to Use NVIDIA Nemotron Open-Source AI
About this episode
Learn how to use NVIDIA's Nemotron open-source AI models with VP Kari Briski. We cover what Nemotron is, minimum hardware specs, the difference between Nano/Super/Ultra tiers, when to choose local vs cloud AI, and practical deployment patterns for businesses. Perfect for anyone wanting to run powerful AI locally with full control and privacy.
Resources mentioned:
NVIDIA Nemotron Models: https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/
Start prototyping for free: https://build.nvidia.com/explore/discover
Subscribe to The Neuron newsletter: https://theneuron.ai
Watch more AI interviews: https://www.youtube.com/@TheNeuronAI
Get every episode summarized
Each time The Neuron: AI Explained publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Neuron: AI Explained
BONUS: The AI Starter Kit: What to Try...and What to Ignore
The Neuron: AI Explained
Can AI Really Design New Drugs? Google DeepMind Spin-out Isomorphic Labs Explain...
The Neuron: AI Explained
BONUS: OpenAI Workspace Agents 101: Build, Run, and Scale AI Workflows
The Neuron: AI Explained
How Google's New AI Turns Anyone Into a Music Producer (Flow Music Demo)
The Neuron: AI Explained