# Finding Nemotron Page: https://stenobird.com/podcast/practical-ai/finding-nemotron Text version: https://stenobird.com/podcast/practical-ai/finding-nemotron.md Podcast: [Practical AI](https://stenobird.com/podcast/practical-ai) Published: 2025-07-02T18:54:16+00:00 Episode link: https://share.transistor.fm/s/6b9fa11e Audio file: https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/6b9fa11e/e7dbbada.mp3 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/practical-ai/episodes/finding-nemotron Duration seconds: 2783 ## Resource 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 ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/practical-ai/episodes/finding-nemotron/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/practical-ai/finding-nemotron.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.