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Finding Nemotron

Overview

Shownote

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Chapters

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Finding Nemotron

Practical AI

2025/07/02
Practical AI

Practical AI

2025/07/02
OverviewShownoteHighlightsTranscriptChaptersPins

Shownote

In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how ...

Highlights

In this episode, the hosts of Practical AI sit down with Joey Conway from NVIDIA to discuss the evolving landscape of open-source AI models and their impact on enterprise applications. The conversation delves into NVIDIA's strategic balance between open and closed AI systems, the company's long-standing commitment to advancing AI innovation, and the growing importance of reasoning capabilities in generative AI.
03:49
NVIDIA publishes models and datasets to support AI infrastructure and community innovation
12:10
Training models to break down complex problems with reasoning traces
21:13
Published a family of three models (nano, super, ultra) with different scales and capabilities
26:33
Close collaboration with Meta confirmed, joint achievements celebrated at LlamaCon
34:21
Nemotron excels in enterprise agentic tasks with complex tool calling and multi-source reasoning.
37:04
Parakeet speech model achieves 2-3x inference speed-up with architectural improvements
44:12
Digital agents will transform business by handling repetitive tasks

Chapters

Welcome to Practical AI
00:00
Meet Joey
00:48
Reasoning
09:19
The Reasoning Models
14:45
Input perameters
23:29
Distinguishing models
31:26
Parakeet
37:03
The future question
41:22
Outro
45:11

Transcript

Chris Benson: Welcome to the Practical AI Podcast, where we break down the real-world applications of artificial intelligence and how it's shaping the way we live, work, and create. Our goal is to help make AI technology practical, productive, and accessib...