AMD, every mention
20 scenes (2025), the whole family · ← back to AMD
tap a year for its mentions
every year 2025 anyone Dylan Patel 14Quentin Anthony 12Shawn Wang 8Chris Lattner 7George Hotz 6Thomas Sohmers 5Mitesh Agrawal 2comfyanonymous (Comfy) 2Suhail Doshi 1Soumith Chintala 1
Verbatim, from the transcripts: the passages where AMD comes up
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 1:02:05 David Soria Parra Uh, HDMI, uh, HDMI forum does not want to allow the AMD to develop open source Linux drivers for HDMI 2.1.
How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- ▶ 0:54 unnamed speaker Uh, we want to talk about AMD. 3 times in the scene
- ▶ 2:09 unnamed speaker When did you decide to go to AMD? 7 times in the scene
- ▶ 2:21 Quentin Anthony So when I was working on PhD more heavily, I was working on Frontier, which is a supercomputer Oak Ridge National Lab, National Lab that's totally based on MI- two-fifty X, uh, AMD GPUs. 3 times in the scene
- ▶ 3:08 Quentin Anthony So we released a blog at Zyphra on porting flash attention to over to my 300 X, just to sort of play out, can we move our own stack over 4 times in the scene
- ▶ 5:26 unnamed speaker What's the state of, um, AMD savior? 4 times in the scene
- ▶ 6:39 Quentin Anthony The hardware of MI three to next has these properties and I want my algorithm to pull these properties out 2 times in the scene
- ▶ 10:29 unnamed speaker What are like really the things that in your mind are like, okay, this is like a huge advantage versus like, this is like part of the offering, but like I can replicate that somewhat easily on AMD or whatever else. 4 times in the scene
- ▶ 57:28 Quentin Anthony Um, I would love to get more AMD sort of work and like alternative ecosystem stuff. 3 times in the scene
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- ▶ 1:01:49 Shawn Wang Like, you know, if you've got some AMD, you want to use that.
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ▶ 49:00 Shawn Wang And then even AMD deal.
⚡️Accelerators @ 3x NVIDIA H200 perf, Made in the USA - Thomas Sohmers + Mitesh Agrawal, Positron AI
- ▶ 19:48 Thomas Sohmers And, you know, be it a lot of the, the companies that you mentioned and, and, and others, I mean, even big guys like AMD have more or less 4 times in the scene
- ▶ 35:07 Mitesh Agrawal And if our architecture is suitable for certain industries much more than let's say NVIDIAs or AMDs or any other silicon architectures, I think they would use us. 2 times in the scene
- ▶ 40:04 Thomas Sohmers Uh, um, you know, from, it's, it's not just from, as Matesh was saying, that from a customer's perspective, if they're deploying hardware, they're going to be choosing between be it NVIDIA, AMD, Positron, or anyone else.
The Shape of Compute (Chris Lattner of Modular)
- ▶ 5:21 Chris Lattner Uh, we're about to launch our AMD and my 303 25 support.
- ▶ 5:21 Chris Lattner Uh, we're about to launch our AMD and my 303 25 support.
- ▶ 11:34 Chris Lattner So it's not as good as something like VLLM because it's missing some features, and it only supports NVIDIA and AMD hardware, for example. 4 times in the scene
- ▶ 24:38 Chris Lattner We support Google TPUs and Infantria and AMD and NVIDIA, obviously, and CPUs and this and that and the other thing.
AI Engineering for Art - with comfyanonymous
- ▶ 33:52 Shawn Wang Like, is it like 70% NVIDIA and like 30% AMD 6 times in the scene
- ▶ 34:43 comfyanonymous (Comfy) So, until AMD actually, like, uh, ports their, like, raw cam to, to Windows properly, and then there's actually PyTorch, I think they're, they're doing that, they're in the process of doing that, but, uh, until they get it, they get a… 2 times in the scene