AWS Trainium
product on 14 shows · 4 statements across 4 episodes · said 206 times in 82 episodes since 2022
TBPN 46 
Invest Like the Best 35 
Big Technology 33 
20VC 23 
the a16z Podcast 17 
BG2 Pod 14 
the MAD Podcast 9 
No Priors 7 
All-In 6 
Cheeky Pint 4 
Latent Space 4 
Acquired 3 
Sourcery 2 
Catalyst 2
Mentions by year, every show
tap a year for its mentions
TBPN 46Invest Like the Best 35Big Technology 3320VC 23the a16z Podcast 17BG2 Pod 14the MAD Podcast 9No Priors 76 more shows
2026 73 mentions in 36 episodes 2 per episode
- What Happens When the AI Boom Runs Out of Money · Invest Like The Best
- Cerebras CEO: Why GPUs Can't Do Fast Inference
- SpaceX's Financials Leaked: Is it Worth $2TN | Meta Debuts Muse Spark: Are They Back in the AI Race? · 20VC with Harry Stebbings
- Watts, Wafers, and the Future of AI Infra | Gavin Baker · Invest Like The Best
- Inside Anthropic's $100 Billion Al Compute Commitment | CFO Krishna Rao · Invest Like The Best
- The Supply and Demand of AI Tokens | Dylan Patel Interview · Invest Like The Best
- Jensen On The Ropes, Sam Altman’s Conflicts, Allbirds’ GPU Pivot
- Ben Thompson from Stratechery on AI ads, the end of SaaS, and the future of media
- 28 more episodes that year, every mention in 2026 →
2025 95 mentions in 29 episodes 3 per episode
- Will AWS Buy Google’s TPUs, Remembering Claude The Gator, Ricursive Raises $35M | Diet TBPN
- Amazon Bets $10B on OpenAI | News Reaction
- Dylan Patel on the AI Chip Race - NVIDIA, Intel & the US Government vs. China
- GPUs, TPUs, & The Economics of AI Explained | Gavin Baker Interview · Invest Like The Best
- Steeve Morin: Why Google Will Win the AI Arms Race & OpenAI Will Not | E1262 · 20VC with Harry Stebbings
- No Priors Ep. 127 | With SemiAnalysis Founder and CEO Dylan Patel
- Inside the Trillion-Dollar AI Buildout | Dylan Patel Interview · Invest Like The Best
- 2025 In Review, 2026 Predictions: Meta, NVIDIA, Tesla, OpenAI, Google, Microsoft
- 21 more episodes that year, every mention in 2025 →
2024 28 mentions in 10 episodes 3 per episode
- AWS CEO Matt Garman on Amazon's Big AI Chips Bet, Working With OpenAI, and Nuclear Energy
- AWS VP of AI and Data Swami Sivasubramanian — GenAI's Growth Potential
- AI Semiconductor Landscape feat. Dylan Patel | BG2 w/ Bill Gurley & Brad Gerstner · Bg2 Pod
- Ep17. Welcome Jensen Huang | BG2 w/ Bill Gurley & Brad Gerstner · Bg2 Pod
- Anthropic's Co-Founder on AI Agents, General Intelligence, and Sentience — With Jack Clark
- Ep18. Jensen Recap - Competitive Moat, X.AI, Smart Assistant | BG2 w/ Bill Gurley & Brad Gerstner · Bg2 Pod
- Eiso Kant, CTO @Poolside: Raising $600M To Compete in the Race for AGI | E1211 · 20VC with Harry Stebbings
- No Priors Ep. 78 | With AWS CEO Matt Garman
- 2 more episodes that year, every mention in 2024 →
2023 8 mentions in 6 episodes 1 per episode
- Nvidia Part III: The Dawn of the AI Era (2022-2023) (Audio) · Acquired
- Ep 18: Petaflops to the People — with George Hotz of tinycorp
- Intel's CEO Shares His Plan To Win The AI Chip War — With Pat Gelsinger
- The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- AI Hardware, Explained.
- Amazon Reveals Its AI Master Plan — With Matt Wood
- every mention in 2023, scene by scene →
2022 1 mention in 1 episode
every mention on every show, scene by scene, with the transcript →
4 statements about AWS Trainium, every show
Rao: Anthropic engineering is deeply embedded with Amazon's Annapurna Labs for Trainium
“Our teams are deeply embedded with the Annapurna Labs team. You know, we are, you know, really good users of Tranium. We've spent a lot of time and energy and worked closely with the team and internally we plan capacity together.”
Patel: AWS Trainium remains difficult for developers to program
“Oh, it's still bad. You know, it's tough to use.”
Sivasubramanian: Anthropic will use AWS Trainium and Inferentia for future models
“Anthropic will also use AWS Tranium and Inferentia tips to build, train, and deploy their future models and as well.”
Hotz: Systolic arrays are the wrong architectural choice for AI chips
“I think systolic arrays are the wrong choice. Systolic array, I think they have systolic arrays because that was the guy's PhD. And of course Amazon makes... They are very power efficient, but it becomes hard to schedule a lot of stuff. On them, if you're not …”