Nemotron
product on 12 shows · 8 statements across 8 episodes · said 106 times in 36 episodes since 2024
the MAD Podcast 47 
Latent Space 25 
20VC 8 
Big Technology 6 
All-In 6 
BG2 Pod 5 
Invest Like the Best 3 
the Startup Ideas Podcast 2 
TBPN 2 
No Priors 1 
the a16z Podcast 1 
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the MAD Podcast 47Latent Space 2520VC 8Big Technology 6All-In 6BG2 Pod 5Invest Like the Best 3the Startup Ideas Podcast 23 more shows
2026 94 mentions in 29 episodes 3 per episode
- Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro
- The Right Way To Build AI Agents — With NVIDIA's Adel El Hallak and ServiceNow's Joe Davis
- Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
- Anthropic's $30T Assumption & OpenAI Confirms IPO | Why Customer Service & Robotics are Overinflated
- Anthropic's $2T IPO, Zuck's AI Manifesto, Nvidia's $500B AI Bet, Grok's Comeback
- ⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- Why the Markets Are Pricing AI Wrong | Gavin Baker · Invest Like The Best
- 21 more episodes that year, every mention in 2026 →
2025 3 mentions in 2 episodes 2 per episode
2024 9 mentions in 5 episodes 2 per episode
- Ep17. Welcome Jensen Huang | BG2 w/ Bill Gurley & Brad Gerstner · Bg2 Pod
- [Paper Club] Upcycling Large Language Models into Mixture of Experts
- [Paper Club] SWE-Bench [OpenAI Verified/Multimodal] + MLE-Bench with Jesse Hu
- The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- every mention in 2024, scene by scene →
every mention on every show, scene by scene, with the transcript →
8 statements about Nemotron, every show
Stebbings: Nvidia licenses Poolside factory for $6B, invests $1B at $12B
“NVIDIA is paying six billion dollars to license Poolside's model factory and investing a billion dollars more at a twelve billion dollar pre-money valuation, moving a 109 engineers over to NemoTron to help build it.”
Dave Morin: Thinking Machines' model beats Nvidia's Nemotron, rivals Chinese models
“Nemotron's fine. This is substantially better. This one's competitive with the Chinese models.”
Calacanis: Users won't distinguish NVIDIA's Nemotron from Claude in 95% of searches
“You will not be able to tell the difference between Jensen Wong's open source LLM sacks and Claude for 95% of your searches. I guarantee you.”
NVIDIA purchases commercial datasets and opens them when licensing permits
“We do purchase data from companies that that, you know, are building data sets that you can purchase. And to the extent that, you know, we have the rights to redistribute or to open up that data, we do as part of our Mnemotron data effort.”
ServiceNow trained an in-house AI model using NVIDIA's Nemotron dataset
“There are companies like, ah, ServiceNow took the dataset and they trained their own model.”
Datology BeyondWeb 3B matches NVIDIA Nemotron 8B in 2.7x less training time
“As you can see that we achieved the same performance as the NVIDIA model in almost, like, 2.7 X, like, lesser time. And then much faster than anything that hugging face or pajama does. Very interestingly, our three B model is pretty much the same performance a…”
Morcos: Nemotron dataset quality is similar to DCLM despite token gains
“Nematron is actually pretty similar in quality to DCLM. It's, it came out about six months later. It has more unique tokens. They made a really big deal about it having more unique tokens, but on average, the quality is, is pretty straightforward.”