It depends on your definition of “usually”, high end GPUs for data centers, AI, workstations or “enthusiasts” yea. For these applications you’re starting at like 16
It’s also fairly cheap to buy 32+ GB of RAM, lots of choices for under $80. Meanwhile, I’m not even sure how you find a video card with 32GB of VRAM (not that you really need this much, 12GB and 16GB are pretty solid for a video card nowadays).
Afaik for consumers only the 5090 has 32GB VRAM. So you’re correct, practically impossible to find. And even if you find it, prone to spontaneous combustion.
For servers, it tops out at 288GB currently, with the AMD Mi355X.
Only if you don’t count Apple Silicon with its shared RAM/VRAM. Ironically a Mac Mini / Studio is currently the cheapest way to get a GPU with lots of vram for AI
And they cost more than a high end PC. I’m not spending $3k on a card that can go up in smoke. Not to mention all of the honest reviewers I’ve seen say it’s performance improvements are all smoke and mirrors.
Tbf, we should be starting with 16GB for gaming GPUs too, especially for those prices. But … NVidia.
But yeah, modern HPC Processors have at least 48GB or so. And max. is the AMD Mi355X with 288GB VRAM afaik. Which is actually less than my servers RAM, ha! But also probably like a thousand times fasted, considering my RAM runs at 1600 MT/s.
Creating your swap as 2x your RAM is outdated advice. Now it’s essentially changed to be 2x until 4GB of RAM, then 1x until 8GB, and anything over 8GB just use 4GB of swap because you probably have enough RAM. Or, even some modern systems like Fedora will swap to zRAM. Which is just a highly compressed portion of RAM.
Normally you don’t even have that much virtual ram. It’s at most twice your system ram, but honestly past 8gb and you’re gonna want to start closing out of stuff.
Isn’t vram usually bigger than ram? Those pics should be switched.
EDIT: Oh, I took vram to be virtual ram, not video ram. It makes sense for video ram.
Mine certainly isn’t. 6GB vram, 16gb ram.
It depends on your definition of “usually”, high end GPUs for data centers, AI, workstations or “enthusiasts” yea. For these applications you’re starting at like 16
GPUs for us plebs, no
It’s also fairly cheap to buy 32+ GB of RAM, lots of choices for under $80. Meanwhile, I’m not even sure how you find a video card with 32GB of VRAM (not that you really need this much, 12GB and 16GB are pretty solid for a video card nowadays).
Afaik for consumers only the 5090 has 32GB VRAM. So you’re correct, practically impossible to find. And even if you find it, prone to spontaneous combustion.
For servers, it tops out at 288GB currently, with the AMD Mi355X.
Only if you don’t count Apple Silicon with its shared RAM/VRAM. Ironically a Mac Mini / Studio is currently the cheapest way to get a GPU with lots of vram for AI
And they cost more than a high end PC. I’m not spending $3k on a card that can go up in smoke. Not to mention all of the honest reviewers I’ve seen say it’s performance improvements are all smoke and mirrors.
Tbf, we should be starting with 16GB for gaming GPUs too, especially for those prices. But … NVidia.
But yeah, modern HPC Processors have at least 48GB or so. And max. is the AMD Mi355X with 288GB VRAM afaik. Which is actually less than my servers RAM, ha! But also probably like a thousand times fasted, considering my RAM runs at 1600 MT/s.
Creating your swap as 2x your RAM is outdated advice. Now it’s essentially changed to be 2x until 4GB of RAM, then 1x until 8GB, and anything over 8GB just use 4GB of swap because you probably have enough RAM. Or, even some modern systems like Fedora will swap to zRAM. Which is just a highly compressed portion of RAM.
Normally you don’t even have that much virtual ram. It’s at most twice your system ram, but honestly past 8gb and you’re gonna want to start closing out of stuff.