Finding Nemotron

2025-07-02 · 46 min · episode 319 · 6 entities

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Asserted relationships

→ hosted by Daniel Whitenack and Chris Benson person

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Feed author/publisher: Daniel Whitenack and Chris Benson
→ discusses Technology company

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→ hosted by Practical AI LLC company

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evidence rules-v5
Feed author/publisher: Practical AI LLC

Entities found in this episode

companys 4

mentioned Practical AI LLC company

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evidence rules-v5
Feed author/publisher: Practical AI LLC
mentioned Technology company

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evidence rules-v5
Feed category: Technology
discusses Technology company

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evidence rules-v5
Feed category: Technology
hosted by Practical AI LLC company

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evidence rules-v5
Feed author/publisher: Practical AI LLC

persons 2

mentioned Daniel Whitenack and Chris Benson person

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evidence rules-v5
Feed author/publisher: Daniel Whitenack and Chris Benson
hosted by Daniel Whitenack and Chris Benson person

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evidence rules-v5
Feed author/publisher: Daniel Whitenack and Chris Benson

Episode description as stored

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 enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications. Featuring: Joey Conway – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Links: Llama Nemotron Ultra NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy Independent analysis of AI Parakeet Model Parakeet Leaderboard Try the Llama-3.1-Nemotron-Ultra-253B-v1 model here and here