Episode
Finding Nemotron
- Podcast
- Practical AI
- Published
- Jul 2, 2025
- Duration seconds
- 2783
- Processing state
failed- Canonical source
- https://share.transistor.fm/s/6b9fa11e
Actions
POST https://stenobird.com/v1/public/podcasts/practical-ai/episodes/finding-nemotron/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/practical-ai/finding-nemotron.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
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