VRAM
155
MENTIONS
47
EPISODES
39
PODCASTS
Search complete. 155 mentions across 47 episodes found for "VRAM".
Oct 26, 2026
Bitaxe Townhall #65
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57:09Juan CluHOST
you can't really use it.
J
57:13Juan CluHOST
Even 96 gigabytes of VRAM is kind of hard, even if you go to 128 gigabytes or the highest models I'm operating are running at 256 gigabytes of VRAM and then 50 gigabytes more for like KV caches.
J
57:30Juan CluHOST
Like these models, for production grade systems, it is questionable.
J
57:36Juan CluHOST
I mean, I do a lot of work on my main profession and I'm doing a lot of AI stuff there and things.
Torvalds says banning AI is stupid, Kernel 7.3, Bitwarden pushes their commercial license
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4:32NickHOST
Previously you had to enter power save for every core, now you can select some cores to enter power save and some to still run at full tilt.
N
4:40NickHOST
Older AMD GPUs will also better recover from hangs or crashes And you also get that really nice fix to improve how AMD GPUs that run out of VRAM will behave, meaning you can play some games that require more VRAM than you have and still run them at decent performance.
N
4:57NickHOST
For example, the latest Indiana Jones games has been tested and can run well when requiring 9GB of VRAM if you only have 8.
N
5:05NickHOST
This stuff was already in SteamOS, but it is now in the kernel as a whole, so it will help every Linux gamer.
N
5:10NickHOST
Well, at least if you use an AMD GPU.
Should We Stop Benchmarking The RTX 5090?
S
67:41Steve WaltonHOST
But yeah, he was saying the latest and greatest combos, which... goes either way, but he didn't make an argument for either one of those.
S
67:51Steve WaltonHOST
But I get where he's coming from with that, but also it's like, no, you want to see what the GPU can actually do when not constrained by another component within the system and then the overhead testing is additional testing it's like saying how much vram a graphics card or a gpu needs which you know can depend on the variables at play But also testing VRAM usage and how that actually impacts visuals and performance is such an in-depth investigation that it's not practical to include that in a video.
S
68:33Steve WaltonHOST
It's something you do afterwards and then note it in following reviews of GPUs.
S
68:40Steve WaltonHOST
It's just so difficult to test VRAM usage accurately, which is why so many outlets have struggled with it in the past.
S
68:47Steve WaltonHOST
You've got to play the game.
S
68:48Steve WaltonHOST
And it's the exact same reason why I was hesitant to jump headfirst straight into this shader compilation testing, because it is such a difficult thing to test.
S
69:03Steve WaltonHOST
And then you've got to play through the game and work out what's shader compilation stutter, what's traversal stutter, and then record that and compare it to another.
S
69:10Steve WaltonHOST
It's a whole lot of work.
Powering Real-Time AI Workflows with Reactor
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22:23Logan LawlerHOST
So yeah, the RTX 6000 Pro, I mean...
L
22:26Logan LawlerHOST
Ada to Blackwell, gin on gin, doubling the VRAM, adding 422 in-code decode.
L
22:31Logan LawlerHOST
And it's a great card because it rivals like an H100 kind of, I mean, not in terms of speed, right? But like in terms of almost like VRAM wise, but it just, It does everything, and it's really designed for – it's interesting you say that, that you brought that up, because that card is really professional.
L
22:48Logan LawlerHOST
It's not a GeForce, but it's a professional-grade card where that industry used to serve engineering, manufacturing, media and entertainment for a lot of things workstation-wise where they were doing – like, you know, simulations or design or CAD work or whatever.
L
23:02Logan LawlerHOST
And then now kind of with the advent of AI, there are some things that just straight up need tensor cores and they just go.
P
Unknown podcast
AI-103 - P3E3 - Microsoft Foundry Audio Integration
Oct 22 · 2 Mentions
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5:39speaker_1HOST
Yeah.
S
5:39speaker_1HOST
You have to factor in compute costs, VRAM allocation, and most importantly, time to first token.
S
5:45speaker_0HOST
Okay.
S
5:46speaker_0HOST
Time to first token.
11 MINS LATER
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16:24speaker_0HOST
So let's sort of retrace the path we've mapped out today.
S
16:26speaker_0HOST
We started by looking at the very real human friction that requires audio apps, the surgeons, the drivers, the visually impaired users who cannot rely on screens.
S
16:35speaker_0HOST
We then walked into the Microsoft Foundry Models catalog and explored how developers filter for the exact right tool, realizing that bigger isn't always better when latency and VRAM are on the line.
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16:46speaker_0HOST
We unpacked the mechanics of the GPT-4 family, diving into how models like MINI prioritize speed while diarized models tackle the heavy math of separating overlapping voices.
GLM 5.3 Flash Doing all High Level Robot Control - Everything is LLM P.2
H
12:40Harrison KinsleyHOST
The problem with overclocking memory is, theoretically, it's actually pretty safe, I would say.
H
12:45Harrison KinsleyHOST
The problem is there is no thermal management or reading of RAM or the memory, like the VRAM, like those memory modules have no, please correct me if I'm wrong and dispel my fear, but they don't have like a temperature sensor.
H
13:03Harrison KinsleyHOST
So if your memory is overheating, you have no idea that it's happening and it'll happen in like a little hotspot and that will cause degradation obviously over time.
H
13:12Harrison KinsleyHOST
So that's like the real threat with doing memory overclocking is you're like running out of spec and you could be cooking your memory and you would have no idea like that, that the thermals do not, um, like when you're looking at like NVSMI or you're querying for the temperature, like you're not getting a read on the memory at all.
The End of Medical Guesswork
E
2:55Edward OjamboHOST
This eliminates to guessing game associated with early stage prescriptions.
E
3:07Edward OjamboHOST
So this high throughput biological processing basically requires a massive amount of obviously VRAM to handle biological data sets.
E
3:16Edward OjamboHOST
So one of the problems with 2026, the time of this recording is that RAM is extremely expensive because it's all being boarded for new AI data centers, right? So as I always say, do not fall for that trick where they say that something that's used that's 10 years old, no AI data center is going to pay a premium for a GPU or RAM that is 10 years old.
E
3:44Edward OjamboHOST
Let's be honest, right? So those prices are just marked up in preposterous.
KDE Turns 30! Windows Defender For Linux, WINE On OpenBSD???
J
30:25Jill BryantHOST
And there are some very important updates for gamers, hardware enthusiasts, or if you just want to make your system run faster.
J
30:33Jill BryantHOST
If you are gaming on an AMD graphics card with lower VRAM, like an 8GB card, Linux 7.3 is honestly literally a game changer.
J
30:45Jill BryantHOST
Are you
V
30:45Vin StoneHOST
good enough saying lower VRAM now, though, man? Because they're releasing brand new cards right now that don't even have that much.
J
30:51Jill BryantHOST
Well, just a few years ago, that was considered low.
J
30:56Jill BryantHOST
So, but yes, yeah.
V
30:58Vin StoneHOST
They're like, I wish I had 8 gigs.
J
31:00Jill BryantHOST
Well, that's why Linux kernel is focusing on these eight gig cards because there's a lot of new ones coming out and people still have a lot of old ones because of the GPU prices and RAM apocalypse and all the things.
D2DO316: Local AI Foundations
N
19:38Ned BellavanceHOST
So in a more traditional system, your CPU would have system RAM that runs at a certain clock speed and is very closely connected to the CPU.
N
19:48Ned BellavanceHOST
So ultra-fast access to the CPU Your GPU lives on a PCI Express lane and has its own onboard memory, usually called video RAM or VRAM.
N
20:01Ned BellavanceHOST
The GPUs have super fast access to the VRAM.
N
20:05Ned BellavanceHOST
What they don't have super fast access to is the DRAM or the system RAM.
N
20:11Ned BellavanceHOST
They have to go through the PCI bus to talk to it.
N
20:14Ned BellavanceHOST
That's a slowdown.
N
20:16Ned BellavanceHOST
Macs have what's called unified memory, which means that both the GPU and the CPU have basically equal access to the pool of memory on the system.
N
20:27Ned BellavanceHOST
And so you don't have separate system RAM and VRAM.
D2DO316: Local AI Foundations
N
19:38Ned BellavanceGUEST
So in a more traditional system, your CPU would have system RAM that runs at a certain clock speed and is very closely connected to the CPU.
N
19:48Ned BellavanceGUEST
So ultra-fast access to the CPU Your GPU lives on a PCI Express lane and has its own onboard memory, usually called video RAM or VRAM.
N
20:01Ned BellavanceGUEST
The GPUs have super fast access to the VRAM.
N
20:05Ned BellavanceGUEST
What they don't have super fast access to is the DRAM or the system RAM.
N
20:11Ned BellavanceGUEST
They have to go through the PCI bus to talk to it.
N
20:14Ned BellavanceGUEST
That's a slowdown.
N
20:16Ned BellavanceGUEST
Macs have what's called unified memory, which means that both the GPU and the CPU have basically equal access to the pool of memory on the system.
N
20:27Ned BellavanceGUEST
And so you don't have separate system RAM and VRAM.
37 more episodes mention VRAM.
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