Modular, every mention
22 scenes · ← back to Modular
tap a year for its mentions
every year anyone Shawn Wang 15Chris Lattner 11Alessio Fanelli 7Tri Dao 1
Verbatim, from the transcripts: the passages where Modular comes up
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 26:20 Shawn Wang You just need a higher level language, like modular. 2 times in the scene
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 55:41 unnamed speaker Other people, Astro, also OpenAI, also, like, Python tooling ecosystem people, are you still sort of bullish, building on top of Python, also recently Modular also, uh, got bought by Qualcomm?
How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- ▶ 5:31 unnamed speaker Mojo and modular.
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- ▶ 1:01:52 Shawn Wang Have you looked at modular at all? 4 times in the scene
Information Theory for Language Models: Jack Morris
- ▶ 12:34 Shawn Wang I don't know if you've been paying attention to modular Mojo. 2 times in the scene
The Shape of Compute (Chris Lattner of Modular)
- ▶ 0:13 Shawn Wang And we're so excited to be back in the studio with Chris Lattner from Mojo Modular. 3 times in the scene
- ▶ 7:06 Chris Lattner So, so the way I would, the way I explain modular is if you take that first three year R and D journey, and if you round a little bit, first year was, um, prove compilation philosophy.
- ▶ 11:20 Alessio Fanelli I can just actually serve the models using our platform, and then you can see how much faster it is, and then obviously you'll adopt it. 3 times in the scene
- ▶ 23:44 Chris Lattner And they're executing really hard towards a specific set of goals, much like the modular team. 3 times in the scene
- ▶ 33:52 Chris Lattner And this is where, um, I think we talked about last time, one of the things that really frustrated me years ago and inspired me to start Modular in the first place is that I saw what the trillion dollar companies could do, right?
- ▶ 47:46 Chris Lattner Modular is Mojo's first customer.
- ▶ 51:41 Chris Lattner This is like very common in AI is like, here's, here's, and modular's done this in the past too. 3 times in the scene
- ▶ 58:41 Chris Lattner So we, so when we started modular over three years ago, we made the like ridiculously weird bet at the time to focus on inference instead of training. 2 times in the scene
- ▶ 1:02:32 Alessio Fanelli So I think that was a great modular story. 4 times in the scene
The AI Architect: Bret Taylor
- ▶ 45:44 unnamed speaker He's doing great work with Modular and Mojo.
DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
- ▶ 18:13 unnamed speaker So we asked this, we had episodes with, you know, replicated model of our works.
The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- ▶ 28:01 unnamed speaker Similar for, by the way, Mojo from, from Modular, which also spoke at the conference, and then what else?
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 12:45 unnamed speaker Is, is there a future in which, because Mojo or Modulus Mojo is kind of a superset of Python, is there a future in which PyTorch might use Mojo features optionally?
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 32:44 Shawn Wang And then the other, um, company pattern that I, I pattern match you to is modular. 4 times in the scene
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 34:49 unnamed speaker The modulars, the tiny corps, the qloras, um, and, and all, all the other type of stuff.
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 54:53 unnamed speaker We always like to say, uh, one topic I would love to maybe chat a bit about is Mojo modular, you know, Chris Leonard nominated you on the podcast. 3 times in the scene