▲ 196 ▼ Developer Explains Why Explicit Sync Will Finally Solve the NVIDIA/Wayland Issues (9to5linux.com) submitted 2 years ago by petsoi@discuss.tchncs.de to c/linux@lemmy.ml 41 comments fedilink hide all child comments
[–] RandomLegend@lemmy.dbzer0.com 81 points 2 years ago (5 children) Too little too late. Already sold my 3070 and went for an 7900 XT bcs i got fed up with NVidia being lazy permalink fedilink source hideshow 10 child comments replies: [–] morrowind@lemmy.ml 25 points 2 years ago (1 child) Good. This is the better overall solution permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 11 points 2 years ago (1 child) well i dearly miss CUDA as i don't get ZLUDA to work properly with Stable Diffusion and FSR is sill leagues behind DLSS... but yeah overall i am very happy permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 1 point 2 years ago (1 child) You can run Ollama with AMD acceleration permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (1 child) yes i know, but Cuda is faster Ollama is for LLM, Stable Diffusion is for images permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 3 points 2 years ago (1 child) I'm aware I wanted to point out that AMD isn't totally useless in AI. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent [–] CrabAndBroom@lemmy.ml 14 points 2 years ago I had to update my laptop about two years ago and decided to go full AMD and it's been awesome. I've been running Wayland as a daily driver the whole time and and I don't even really notice it anymore. permalink fedilink source parent [–] 30p87@feddit.de 9 points 2 years ago (1 child) Even now, choosing between a free 4090 or a free 7900 XTX would be easy. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (2 children) It totally depends on your usecase. NVidia runs 100% rocksolid on X11. If you're someone who reallse uses CUDA and all their stuff and don't care about Wayland. NVidia is the choice you have to make. Simple as that. If you don't care about those things or are willing to sacrifice time and tinker around with AMDs subpar alternatives, AMD is the way to go. Because let's face it. AMD didn't care about machine learning stuff and they only now begin to dabble in it. They lost a huge amount of people who work with those things as their day job. They can't tell their bosses and/or clients that they can't work for a week or two until they figured out how to get this alternative running that is just starting to care about that field of work. permalink fedilink source parent hideshow 4 child comments replies: [–] 30p87@feddit.de 6 points 2 years ago Luckily the only way I'm gonna use ML is on my workstation server, which will have it's Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland. permalink fedilink source parent [–] kata1yst@sh.itjust.works -1 points 2 years ago (1 child) These hypothetical people should use Google Colab or similar services for ML/AI, since it's far cheaper than owning a 4090 or an a100. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 4 points 2 years ago (1 child) These absolutely not hypothetical people should absolutely NOT be using Google Colab. Keep your data to yourself, don't run shit in the cloud that can be run offline. permalink fedilink source parent hideshow 2 child comments replies: [–] kata1yst@sh.itjust.works -1 points 2 years ago Exactly what data are you worried about giving to Colab? permalink fedilink source parent [–] Andrenikous@lemm.ee 7 points 2 years ago If the day comes I want to upgrade my 3080 I’ll switch to an AMD solution but until then I’ll take any improvement I can get from Nvidia. permalink fedilink source parent [–] Bulletdust@lemmy.ml -3 points 2 years ago I don't believe Nvidia were the one's being lazy in this regard, they submitted the merge request for explicit sync quite some time ago now. Wayland devs essentially took their sweet time merging the code. permalink fedilink source parent
[–] morrowind@lemmy.ml 25 points 2 years ago (1 child) Good. This is the better overall solution permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 11 points 2 years ago (1 child) well i dearly miss CUDA as i don't get ZLUDA to work properly with Stable Diffusion and FSR is sill leagues behind DLSS... but yeah overall i am very happy permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 1 point 2 years ago (1 child) You can run Ollama with AMD acceleration permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (1 child) yes i know, but Cuda is faster Ollama is for LLM, Stable Diffusion is for images permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 3 points 2 years ago (1 child) I'm aware I wanted to point out that AMD isn't totally useless in AI. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent
[–] RandomLegend@lemmy.dbzer0.com 11 points 2 years ago (1 child) well i dearly miss CUDA as i don't get ZLUDA to work properly with Stable Diffusion and FSR is sill leagues behind DLSS... but yeah overall i am very happy permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 1 point 2 years ago (1 child) You can run Ollama with AMD acceleration permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (1 child) yes i know, but Cuda is faster Ollama is for LLM, Stable Diffusion is for images permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 3 points 2 years ago (1 child) I'm aware I wanted to point out that AMD isn't totally useless in AI. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent
[–] possiblylinux127@lemmy.zip 1 point 2 years ago (1 child) You can run Ollama with AMD acceleration permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (1 child) yes i know, but Cuda is faster Ollama is for LLM, Stable Diffusion is for images permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 3 points 2 years ago (1 child) I'm aware I wanted to point out that AMD isn't totally useless in AI. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent
[–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (1 child) yes i know, but Cuda is faster Ollama is for LLM, Stable Diffusion is for images permalink fedilink source parent hideshow 2 child comments replies: [–] possiblylinux127@lemmy.zip 3 points 2 years ago (1 child) I'm aware I wanted to point out that AMD isn't totally useless in AI. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent
[–] possiblylinux127@lemmy.zip 3 points 2 years ago (1 child) I'm aware I wanted to point out that AMD isn't totally useless in AI. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent
[–] RandomLegend@lemmy.dbzer0.com 2 points 2 years ago Oh it definetly isn't Everything I need does run and I finally don't run out of vram so easily 😅 permalink fedilink source parent
[–] CrabAndBroom@lemmy.ml 14 points 2 years ago I had to update my laptop about two years ago and decided to go full AMD and it's been awesome. I've been running Wayland as a daily driver the whole time and and I don't even really notice it anymore. permalink fedilink source parent
[–] 30p87@feddit.de 9 points 2 years ago (1 child) Even now, choosing between a free 4090 or a free 7900 XTX would be easy. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (2 children) It totally depends on your usecase. NVidia runs 100% rocksolid on X11. If you're someone who reallse uses CUDA and all their stuff and don't care about Wayland. NVidia is the choice you have to make. Simple as that. If you don't care about those things or are willing to sacrifice time and tinker around with AMDs subpar alternatives, AMD is the way to go. Because let's face it. AMD didn't care about machine learning stuff and they only now begin to dabble in it. They lost a huge amount of people who work with those things as their day job. They can't tell their bosses and/or clients that they can't work for a week or two until they figured out how to get this alternative running that is just starting to care about that field of work. permalink fedilink source parent hideshow 4 child comments replies: [–] 30p87@feddit.de 6 points 2 years ago Luckily the only way I'm gonna use ML is on my workstation server, which will have it's Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland. permalink fedilink source parent [–] kata1yst@sh.itjust.works -1 points 2 years ago (1 child) These hypothetical people should use Google Colab or similar services for ML/AI, since it's far cheaper than owning a 4090 or an a100. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 4 points 2 years ago (1 child) These absolutely not hypothetical people should absolutely NOT be using Google Colab. Keep your data to yourself, don't run shit in the cloud that can be run offline. permalink fedilink source parent hideshow 2 child comments replies: [–] kata1yst@sh.itjust.works -1 points 2 years ago Exactly what data are you worried about giving to Colab? permalink fedilink source parent
[–] RandomLegend@lemmy.dbzer0.com 10 points 2 years ago (2 children) It totally depends on your usecase. NVidia runs 100% rocksolid on X11. If you're someone who reallse uses CUDA and all their stuff and don't care about Wayland. NVidia is the choice you have to make. Simple as that. If you don't care about those things or are willing to sacrifice time and tinker around with AMDs subpar alternatives, AMD is the way to go. Because let's face it. AMD didn't care about machine learning stuff and they only now begin to dabble in it. They lost a huge amount of people who work with those things as their day job. They can't tell their bosses and/or clients that they can't work for a week or two until they figured out how to get this alternative running that is just starting to care about that field of work. permalink fedilink source parent hideshow 4 child comments replies: [–] 30p87@feddit.de 6 points 2 years ago Luckily the only way I'm gonna use ML is on my workstation server, which will have it's Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland. permalink fedilink source parent [–] kata1yst@sh.itjust.works -1 points 2 years ago (1 child) These hypothetical people should use Google Colab or similar services for ML/AI, since it's far cheaper than owning a 4090 or an a100. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 4 points 2 years ago (1 child) These absolutely not hypothetical people should absolutely NOT be using Google Colab. Keep your data to yourself, don't run shit in the cloud that can be run offline. permalink fedilink source parent hideshow 2 child comments replies: [–] kata1yst@sh.itjust.works -1 points 2 years ago Exactly what data are you worried about giving to Colab? permalink fedilink source parent
[–] 30p87@feddit.de 6 points 2 years ago Luckily the only way I'm gonna use ML is on my workstation server, which will have it's Quadro M2000 replaced/complemented by my GTX 1070 once I have an AMD GPU in my main PC, because on that I mainly care about running games in 4k, with high settings but without much Raytracing, on Wayland. permalink fedilink source parent
[–] kata1yst@sh.itjust.works -1 points 2 years ago (1 child) These hypothetical people should use Google Colab or similar services for ML/AI, since it's far cheaper than owning a 4090 or an a100. permalink fedilink source parent hideshow 2 child comments replies: [–] RandomLegend@lemmy.dbzer0.com 4 points 2 years ago (1 child) These absolutely not hypothetical people should absolutely NOT be using Google Colab. Keep your data to yourself, don't run shit in the cloud that can be run offline. permalink fedilink source parent hideshow 2 child comments replies: [–] kata1yst@sh.itjust.works -1 points 2 years ago Exactly what data are you worried about giving to Colab? permalink fedilink source parent
[–] RandomLegend@lemmy.dbzer0.com 4 points 2 years ago (1 child) These absolutely not hypothetical people should absolutely NOT be using Google Colab. Keep your data to yourself, don't run shit in the cloud that can be run offline. permalink fedilink source parent hideshow 2 child comments replies: [–] kata1yst@sh.itjust.works -1 points 2 years ago Exactly what data are you worried about giving to Colab? permalink fedilink source parent
[–] kata1yst@sh.itjust.works -1 points 2 years ago Exactly what data are you worried about giving to Colab? permalink fedilink source parent
[–] Andrenikous@lemm.ee 7 points 2 years ago If the day comes I want to upgrade my 3080 I’ll switch to an AMD solution but until then I’ll take any improvement I can get from Nvidia. permalink fedilink source parent
[–] Bulletdust@lemmy.ml -3 points 2 years ago I don't believe Nvidia were the one's being lazy in this regard, they submitted the merge request for explicit sync quite some time ago now. Wayland devs essentially took their sweet time merging the code. permalink fedilink source parent