AMD, every mention

25 scenes, the whole family · ← back to AMD

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where AMD comes up

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▶ 5:38 Andrew Feldman And today, several companies make traditional GPUs, so NVIDIA and AMD, they make very standard GPUs. 2 times in the scene
▶ 11:54 Andrew Feldman Intel got zero share, MD got zero share, and a company nobody previously heard of,
▶ 20:23 Andrew Feldman And this is what Inxadia and AMD, uh, and others use as a motherboard.

▶ 9:14 Dylan Patel And there's, so there's a lot of AI chip companies on the startup side, but then there's also, you know, Google's TPU, AMD, GPUs, uh, Amazon Tranium, uh, who are all really credible competitors.
▶ 17:08 Matt Turck Do you think AMD can, uh, catch up? 7 times in the scene
▶ 17:16 Dylan Patel Because Blackwell is just way better than MI-tri-fifty-five.
▶ 17:59 Matt Turck If AMD has a 3 times in the scene
▶ 34:13 Dylan Patel But there's a reason, like, I don't think that like Jensen is scared of AMD really. 3 times in the scene
▶ 43:17 Dylan Patel TSMC is literally making chips for NVIDIA and Apple and AMD and others in Arizona today, right?

▶ 30:37 Dan Fu We're starting to see the same things happen, for example, on AMD chips, um, with, with some, some of the research there. 2 times in the scene
▶ 1:01:21 Dan Fu I think we're starting to hear a bit about the AMD 400 series of GPUs.
▶ 1:01:21 Dan Fu I think we're starting to hear a bit about the AMD 400 series of GPUs.

▶ 45:54 Matt Turck Like, do you run on like all sorts of NVIDIAs and MDs and like, are you agnostic that way? 2 times in the scene
▶ 46:22 Lin Qiao Uh, we also build on top of AMD's hardware, uh, and we optimize on top of ROCCM.

▶ 17:52 Sharon Zhou Um, obviously the AMD chips that we also agnostically work with the MI 300 and MI two fifties, those are available.
▶ 17:52 Sharon Zhou Um, obviously the AMD chips that we also agnostically work with the MI 300 and MI two fifties, those are available.
▶ 17:52 Sharon Zhou Um, obviously the AMD chips that we also agnostically work with the MI 300 and MI two fifties, those are available.
▶ 18:13 Matt Turck So, um, you've, you've been working with different types of GPUs, but last year, uh, a part of your positioning was to also work with AMD.

▶ 12:37 Sharon Zhou Um, we are, you know, compute agnostic, um, so we actually can run on both, um, we can run on different VPCs, on NVIDIA chips, and actually one special thing is we, we are the only folks who can actually run, um, your language models on…
▶ 27:08 Sharon Zhou Um, and also they're not super available right now, unless you want to go the AMD route with us.
▶ 32:40 Matt Turck Uh, maybe a quick word on that, on that exciting partnership with, um, with AMD you alluded up front, but that, that's actually a, a product, like a package, I think you call it the Superstation, is that, is that correct?
▶ 34:38 Matt Turck And, and part of the realization was that, um, AMD instinct
▶ 42:02 Sharon Zhou Um, you know, it's Lamini open core there, so you can actually hit our servers, hit AMD servers, essentially, um, as you run through it.

▶ 4:22 Dillon Erb So, all the big guys, Nvidia, ah, Intel, ah, AMD, Graphcore, Cerebros, there's, there are hundreds of these that are working on new hardware, and when you think about new hardware, that, there's, there's a big shift in how we think about,…

▶ 7:11 Amit Bendov Ok, everything is, we wrote the database, the ETL tools, and the, ah, the visualization for the modern, 64 bit, ah, chipset from, ah, Intel or AMD.

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