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15 results for “gaming infrastructure”
Topic3 mentions across episodes
infrastructure
...in gaming, and it's it's potentially the same supply as in the same wafer supply if it's silicon or shares at least the architecture of whatever that generation of product is using. And so there's a lot of crossover, and what that means is that these
8:56 / 10:02
from transcript8:56 – 10:02
...for the best gaming experience. Like, what does your viewer what do they want, and what are they benchmarking various options against each other on what specs? Sure. Yeah. So our viewers tend to build their own computers. So Okay.
30:00 / 31:00
from transcript30:00 – 31:00
...infrastructure. We need lots and we need lots of it, and we need lots of people to build, operate, and maintain it.
34:29 / 35:33
from transcript34:29 – 35:33
...infrastructure. Like, the notion that actually you would scale out on commodity PCs, essentially, those same ones that you could buy off the shelf running a Linux stack, and that's what you would do for disk, that's what you would do for compute, tha
8:16 / 9:20
from transcript8:16 – 9:20
video games on PCs are gonna be a thing that there's gonna be a big economic wave around, that lots of consumers are going to want to do this. They're gonna wanna do it on PCs instead of on Super Nintendo and dedicated systems. Maybe Well, I have thi
23:14 / 24:29
from transcript23:14 – 24:29
to make, you know, for for example, you know, how we what would be the best way to utilize the g b 200, g b 300, m b l 72 rack entirely for the giant open source model. Still, I think it's a it's open problem. There are definitely some endeavors in a
39:27 / 40:48
from transcript39:27 – 40:48
...consumer gaming graphics cards, and some of those dyes went to a 100 GPUs in the data center. It was all the same architecture. Starting in September 2022, they broke out the two business lines into different architectures. So there's the hopper arch
1:05:14 / 1:06:20
from transcript1:05:14 – 1:06:20
Gaming is still king. It generates almost 6,000,000,000 in revenue. The data center revenue segment was 3,000,000,000, but had been pretty flat for a couple years. So then, insanely, over the last two years, it three x ed the data center segment thre
1:09:00 / 1:10:02
from transcript1:09:00 – 1:10:02
Databases and file system, abstracted storage devices and networking. For accelerated computing, there's a brand new physical device that inference and we are abstracted a large part of it for inference specific workload. Of course, it's training, bu
40:30 / 41:30
from transcript40:30 – 41:30
...where gaming is happening with the client. Totally worked. Right? Yeah. I mean, the dream is really cool. Right? That, like, on any, on any client, as long as you have a fast enough Internet connection, you don't actually have to do all the hard rend
14:58 / 16:03
from transcript14:58 – 16:03
...this huge infrastructure build out is because the demand is ultimately there. I I know a lot of people worry and about whether this could be like a .com situation. Remember where we had the whole fiber build out in the late nineties, then we had a .c
1:25 / 2:30
from transcript1:25 – 2:30
...infrastructure today, right? I remember the transition from the wiring closet to the data center, remember? Yeah, exactly. Exactly. These mega data centers actually pro switching. Yeah. Yeah. I mean the dual net was created on a gaming chip. Yeah. Ye
34:30 / 35:31
from transcript34:30 – 35:31
that act as a logical data center that could be up to eight, nine hundred kilometers apart. And you will see that just because there's not gonna be enough concentration of power in a single location. So you'll just have to have different architecture
7:31 / 8:31
from transcript7:31 – 8:31
gigabits a second of bandwidth running down a wire in a data center. Well, it turns out if you're trying to address hundreds, maybe more than hundreds of GPUs as one single compute cluster to train a massive AI model, yeah, you want really fast data
1:02:15 / 1:03:16
from transcript1:02:15 – 1:03:16
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