#zluda — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #zluda, aggregated by home.social.
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Zluda 6 release (run unmodified CUDA applications on non-Nvidia GPUs)
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Zluda 6 release (run unmodified CUDA applications on non-Nvidia GPUs)
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Zluda 6 release (run unmodified CUDA applications on non-Nvidia GPUs)
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Zluda 6 release (run unmodified CUDA applications on non-Nvidia GPUs)
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Zluda 6 release (run unmodified CUDA applications on non-Nvidia GPUs)
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Das Open-Source-Projekt #ZLUDA bringt jetzt Support für #PhysX auf #Radeon-#Grafikkarten von #AMD. In alten Spielen wie Mafia 2 steigt die #Bildrate massiv an, da Berechnungen nicht mehr an der CPU hängen. https://winfuture.de/news,159677.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia
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Das Open-Source-Projekt #ZLUDA bringt jetzt Support für #PhysX auf #Radeon-#Grafikkarten von #AMD. In alten Spielen wie Mafia 2 steigt die #Bildrate massiv an, da Berechnungen nicht mehr an der CPU hängen. https://winfuture.de/news,159677.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia
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Das Open-Source-Projekt #ZLUDA bringt jetzt Support für #PhysX auf #Radeon-#Grafikkarten von #AMD. In alten Spielen wie Mafia 2 steigt die #Bildrate massiv an, da Berechnungen nicht mehr an der CPU hängen. https://winfuture.de/news,159677.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia
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Das Open-Source-Projekt #ZLUDA bringt jetzt Support für #PhysX auf #Radeon-#Grafikkarten von #AMD. In alten Spielen wie Mafia 2 steigt die #Bildrate massiv an, da Berechnungen nicht mehr an der CPU hängen. https://winfuture.de/news,159677.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia
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Das Open-Source-Projekt #ZLUDA bringt jetzt Support für #PhysX auf #Radeon-#Grafikkarten von #AMD. In alten Spielen wie Mafia 2 steigt die #Bildrate massiv an, da Berechnungen nicht mehr an der CPU hängen. https://winfuture.de/news,159677.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia
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#ZLUDA Boasts Full #Llamacpp Support, Better Windows Handling For #CUDA On Non-NVIDIA GPU
ZLUDA developers had hoped to provide robust PyTorch support by end of 2025 but that didn't quite turn out. Llama.cpp support using NVIDIA CUDA back-end is now considered complete. Llama.cpp has #AMD ROCm but having ZLUDA support for Llama.cpp allows for performance comparisons. ZLUDA devs report that their route achieves "nearly identical" performance to the native ROCm back-end.
https://www.phoronix.com/news/ZLUDA-Q4-2025-Report -
#ZLUDA Boasts Full #Llamacpp Support, Better Windows Handling For #CUDA On Non-NVIDIA GPU
ZLUDA developers had hoped to provide robust PyTorch support by end of 2025 but that didn't quite turn out. Llama.cpp support using NVIDIA CUDA back-end is now considered complete. Llama.cpp has #AMD ROCm but having ZLUDA support for Llama.cpp allows for performance comparisons. ZLUDA devs report that their route achieves "nearly identical" performance to the native ROCm back-end.
https://www.phoronix.com/news/ZLUDA-Q4-2025-Report -
#ZLUDA Boasts Full #Llamacpp Support, Better Windows Handling For #CUDA On Non-NVIDIA GPU
ZLUDA developers had hoped to provide robust PyTorch support by end of 2025 but that didn't quite turn out. Llama.cpp support using NVIDIA CUDA back-end is now considered complete. Llama.cpp has #AMD ROCm but having ZLUDA support for Llama.cpp allows for performance comparisons. ZLUDA devs report that their route achieves "nearly identical" performance to the native ROCm back-end.
https://www.phoronix.com/news/ZLUDA-Q4-2025-Report -
#ZLUDA Boasts Full #Llamacpp Support, Better Windows Handling For #CUDA On Non-NVIDIA GPU
ZLUDA developers had hoped to provide robust PyTorch support by end of 2025 but that didn't quite turn out. Llama.cpp support using NVIDIA CUDA back-end is now considered complete. Llama.cpp has #AMD ROCm but having ZLUDA support for Llama.cpp allows for performance comparisons. ZLUDA devs report that their route achieves "nearly identical" performance to the native ROCm back-end.
https://www.phoronix.com/news/ZLUDA-Q4-2025-Report -
#ZLUDA Boasts Full #Llamacpp Support, Better Windows Handling For #CUDA On Non-NVIDIA GPU
ZLUDA developers had hoped to provide robust PyTorch support by end of 2025 but that didn't quite turn out. Llama.cpp support using NVIDIA CUDA back-end is now considered complete. Llama.cpp has #AMD ROCm but having ZLUDA support for Llama.cpp allows for performance comparisons. ZLUDA devs report that their route achieves "nearly identical" performance to the native ROCm back-end.
https://www.phoronix.com/news/ZLUDA-Q4-2025-Report -
#ZLUDA Adds #CUDA 13.1 Compatibility For Running CUDA Apps On Non-NVIDIA Hardware
The current form of ZLUDA is on delivering CUDA for non-NVIDIA GPUs but not explicitly being tied to one #GPU target/vendor like in the past. This multi-GPU CUDA implementation though has been taking a special focus on AI workloads but ultimately this implementation will hopefully allow most unmodified CUDA software to run gracefully on other GPU hardware.
https://www.phoronix.com/news/ZLUDA-CUDA-13.1-Compatibility -
#ZLUDA Adds #CUDA 13.1 Compatibility For Running CUDA Apps On Non-NVIDIA Hardware
The current form of ZLUDA is on delivering CUDA for non-NVIDIA GPUs but not explicitly being tied to one #GPU target/vendor like in the past. This multi-GPU CUDA implementation though has been taking a special focus on AI workloads but ultimately this implementation will hopefully allow most unmodified CUDA software to run gracefully on other GPU hardware.
https://www.phoronix.com/news/ZLUDA-CUDA-13.1-Compatibility -
#ZLUDA Adds #CUDA 13.1 Compatibility For Running CUDA Apps On Non-NVIDIA Hardware
The current form of ZLUDA is on delivering CUDA for non-NVIDIA GPUs but not explicitly being tied to one #GPU target/vendor like in the past. This multi-GPU CUDA implementation though has been taking a special focus on AI workloads but ultimately this implementation will hopefully allow most unmodified CUDA software to run gracefully on other GPU hardware.
https://www.phoronix.com/news/ZLUDA-CUDA-13.1-Compatibility -
#ZLUDA Adds #CUDA 13.1 Compatibility For Running CUDA Apps On Non-NVIDIA Hardware
The current form of ZLUDA is on delivering CUDA for non-NVIDIA GPUs but not explicitly being tied to one #GPU target/vendor like in the past. This multi-GPU CUDA implementation though has been taking a special focus on AI workloads but ultimately this implementation will hopefully allow most unmodified CUDA software to run gracefully on other GPU hardware.
https://www.phoronix.com/news/ZLUDA-CUDA-13.1-Compatibility -
#ZLUDA Adds #CUDA 13.1 Compatibility For Running CUDA Apps On Non-NVIDIA Hardware
The current form of ZLUDA is on delivering CUDA for non-NVIDIA GPUs but not explicitly being tied to one #GPU target/vendor like in the past. This multi-GPU CUDA implementation though has been taking a special focus on AI workloads but ultimately this implementation will hopefully allow most unmodified CUDA software to run gracefully on other GPU hardware.
https://www.phoronix.com/news/ZLUDA-CUDA-13.1-Compatibility -
#ZLUDA For #CUDA On Non-NVIDIA GPUs Enables #AMD #ROCm 7 Support
ZLUDA is working on bringing CUDA to non-NVIDIA GPUs. While there were prior versions focused originally on Intel GPUs and then for a while AMD-financed work on Radeon/ROCm support, the current take is on being a multi-vendor CUDA implementation and with a special focus on getting CUDA #AI workloads up and running.
https://www.phoronix.com/news/ZLUDA-ROCm-7 -
#ZLUDA For #CUDA On Non-NVIDIA GPUs Enables #AMD #ROCm 7 Support
ZLUDA is working on bringing CUDA to non-NVIDIA GPUs. While there were prior versions focused originally on Intel GPUs and then for a while AMD-financed work on Radeon/ROCm support, the current take is on being a multi-vendor CUDA implementation and with a special focus on getting CUDA #AI workloads up and running.
https://www.phoronix.com/news/ZLUDA-ROCm-7 -
#ZLUDA For #CUDA On Non-NVIDIA GPUs Enables #AMD #ROCm 7 Support
ZLUDA is working on bringing CUDA to non-NVIDIA GPUs. While there were prior versions focused originally on Intel GPUs and then for a while AMD-financed work on Radeon/ROCm support, the current take is on being a multi-vendor CUDA implementation and with a special focus on getting CUDA #AI workloads up and running.
https://www.phoronix.com/news/ZLUDA-ROCm-7 -
#ZLUDA For #CUDA On Non-NVIDIA GPUs Enables #AMD #ROCm 7 Support
ZLUDA is working on bringing CUDA to non-NVIDIA GPUs. While there were prior versions focused originally on Intel GPUs and then for a while AMD-financed work on Radeon/ROCm support, the current take is on being a multi-vendor CUDA implementation and with a special focus on getting CUDA #AI workloads up and running.
https://www.phoronix.com/news/ZLUDA-ROCm-7 -
#ZLUDA For #CUDA On Non-NVIDIA GPUs Enables #AMD #ROCm 7 Support
ZLUDA is working on bringing CUDA to non-NVIDIA GPUs. While there were prior versions focused originally on Intel GPUs and then for a while AMD-financed work on Radeon/ROCm support, the current take is on being a multi-vendor CUDA implementation and with a special focus on getting CUDA #AI workloads up and running.
https://www.phoronix.com/news/ZLUDA-ROCm-7 -
ZLUDA: CUDA ohne NVIDIA-GPU unterstützt ROCm7
https://linuxnews.de/zluda-cuda-ohne-nvidia-gpu-unterstuetzt-rocm7/ #zluda #cuda #nvidia #amd #rocm #linux #linuxnews -
ZLUDA: CUDA ohne NVIDIA-GPU unterstützt ROCm7
https://linuxnews.de/zluda-cuda-ohne-nvidia-gpu-unterstuetzt-rocm7/ #zluda #cuda #nvidia #amd #rocm #linux #linuxnews -
ZLUDA: CUDA ohne NVIDIA-GPU unterstützt ROCm7
https://linuxnews.de/zluda-cuda-ohne-nvidia-gpu-unterstuetzt-rocm7/ #zluda #cuda #nvidia #amd #rocm #linux #linuxnews -
ZLUDA: CUDA ohne NVIDIA-GPU unterstützt ROCm7
https://linuxnews.de/zluda-cuda-ohne-nvidia-gpu-unterstuetzt-rocm7/ #zluda #cuda #nvidia #amd #rocm #linux #linuxnews -
ZLUDA: CUDA ohne NVIDIA-GPU unterstützt ROCm7
https://linuxnews.de/zluda-cuda-ohne-nvidia-gpu-unterstuetzt-rocm7/ #zluda #cuda #nvidia #amd #rocm #linux #linuxnews -
#ZLUDA 5 Released With An Offline #Compiler For #CUDA On Non-NVIDIA #GPUs
#ZLUDA5 introduces "zoc" as an offline compiler for ZLUDA. #Zoc will take a NVIDIA PTX file as input and output the #LLVM intermediate representation (IR) and the #RDNA Assembly for the GPU in use generated in turn by the #ROCm compiler.
https://www.phoronix.com/news/ZLUDA-5-Released -
#ZLUDA 5 Released With An Offline #Compiler For #CUDA On Non-NVIDIA #GPUs
#ZLUDA5 introduces "zoc" as an offline compiler for ZLUDA. #Zoc will take a NVIDIA PTX file as input and output the #LLVM intermediate representation (IR) and the #RDNA Assembly for the GPU in use generated in turn by the #ROCm compiler.
https://www.phoronix.com/news/ZLUDA-5-Released -
#ZLUDA 5 Released With An Offline #Compiler For #CUDA On Non-NVIDIA #GPUs
#ZLUDA5 introduces "zoc" as an offline compiler for ZLUDA. #Zoc will take a NVIDIA PTX file as input and output the #LLVM intermediate representation (IR) and the #RDNA Assembly for the GPU in use generated in turn by the #ROCm compiler.
https://www.phoronix.com/news/ZLUDA-5-Released -
#ZLUDA 5 Released With An Offline #Compiler For #CUDA On Non-NVIDIA #GPUs
#ZLUDA5 introduces "zoc" as an offline compiler for ZLUDA. #Zoc will take a NVIDIA PTX file as input and output the #LLVM intermediate representation (IR) and the #RDNA Assembly for the GPU in use generated in turn by the #ROCm compiler.
https://www.phoronix.com/news/ZLUDA-5-Released -
#ZLUDA 5 Released With An Offline #Compiler For #CUDA On Non-NVIDIA #GPUs
#ZLUDA5 introduces "zoc" as an offline compiler for ZLUDA. #Zoc will take a NVIDIA PTX file as input and output the #LLVM intermediate representation (IR) and the #RDNA Assembly for the GPU in use generated in turn by the #ROCm compiler.
https://www.phoronix.com/news/ZLUDA-5-Released -
Holy shit it lives: #ZLUDA ( #CUDA on non-NVIDIA GPUs ) got a update
https://github.com/vosen/ZLUDA/releases/tag/v5 -
ZLUDA Implements Kernel Cache Support To Help With Performance
#ZLUDA as the #opensource solution bringing #CUDA to non-NVIDIA hardware has been seeing a nice uptick in activity the past several months for its latest take on life. The latest feature merged to ZLUDA is the all-important kernel cache to help with performance.
https://www.phoronix.com/news/ZLUDA-Kernel-Cache -
ZLUDA Implements Kernel Cache Support To Help With Performance
#ZLUDA as the #opensource solution bringing #CUDA to non-NVIDIA hardware has been seeing a nice uptick in activity the past several months for its latest take on life. The latest feature merged to ZLUDA is the all-important kernel cache to help with performance.
https://www.phoronix.com/news/ZLUDA-Kernel-Cache -
ZLUDA Implements Kernel Cache Support To Help With Performance
#ZLUDA as the #opensource solution bringing #CUDA to non-NVIDIA hardware has been seeing a nice uptick in activity the past several months for its latest take on life. The latest feature merged to ZLUDA is the all-important kernel cache to help with performance.
https://www.phoronix.com/news/ZLUDA-Kernel-Cache -
ZLUDA Implements Kernel Cache Support To Help With Performance
#ZLUDA as the #opensource solution bringing #CUDA to non-NVIDIA hardware has been seeing a nice uptick in activity the past several months for its latest take on life. The latest feature merged to ZLUDA is the all-important kernel cache to help with performance.
https://www.phoronix.com/news/ZLUDA-Kernel-Cache -
ZLUDA Implements Kernel Cache Support To Help With Performance
#ZLUDA as the #opensource solution bringing #CUDA to non-NVIDIA hardware has been seeing a nice uptick in activity the past several months for its latest take on life. The latest feature merged to ZLUDA is the all-important kernel cache to help with performance.
https://www.phoronix.com/news/ZLUDA-Kernel-Cache -
New #ZLUDA 5 Preview Released For #CUDA On Non-NVIDIA #GPU
For now this ability to run unmodified CUDA apps on non-#NVIDIA GPUs is focused on #AMD GPUs of the #Radeon RX 5000 series and newer, which is AMD Radeon GPUs with #ROCm. Besides CUDA code samples, GeekBench has been one of the early targets for testing.
https://www.phoronix.com/news/ZLUDA-5-preview.43 -
New #ZLUDA 5 Preview Released For #CUDA On Non-NVIDIA #GPU
For now this ability to run unmodified CUDA apps on non-#NVIDIA GPUs is focused on #AMD GPUs of the #Radeon RX 5000 series and newer, which is AMD Radeon GPUs with #ROCm. Besides CUDA code samples, GeekBench has been one of the early targets for testing.
https://www.phoronix.com/news/ZLUDA-5-preview.43 -
New #ZLUDA 5 Preview Released For #CUDA On Non-NVIDIA #GPU
For now this ability to run unmodified CUDA apps on non-#NVIDIA GPUs is focused on #AMD GPUs of the #Radeon RX 5000 series and newer, which is AMD Radeon GPUs with #ROCm. Besides CUDA code samples, GeekBench has been one of the early targets for testing.
https://www.phoronix.com/news/ZLUDA-5-preview.43 -
New #ZLUDA 5 Preview Released For #CUDA On Non-NVIDIA #GPU
For now this ability to run unmodified CUDA apps on non-#NVIDIA GPUs is focused on #AMD GPUs of the #Radeon RX 5000 series and newer, which is AMD Radeon GPUs with #ROCm. Besides CUDA code samples, GeekBench has been one of the early targets for testing.
https://www.phoronix.com/news/ZLUDA-5-preview.43 -
New #ZLUDA 5 Preview Released For #CUDA On Non-NVIDIA #GPU
For now this ability to run unmodified CUDA apps on non-#NVIDIA GPUs is focused on #AMD GPUs of the #Radeon RX 5000 series and newer, which is AMD Radeon GPUs with #ROCm. Besides CUDA code samples, GeekBench has been one of the early targets for testing.
https://www.phoronix.com/news/ZLUDA-5-preview.43 -
Uninstalling the #MicrosoftStore version of #Python and disabling #WindowsDefender so the #torch dlls properly install so I can run comfyui-zluda, a fork of #comfyui which uses #zluda which is a shim for #CUDA applications to use #AMD #HIP SDK so I can download #stableDiffusion and run it on my #Radeon #GPU because #Amuse won't let me generate porn.
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Uninstalling the #MicrosoftStore version of #Python and disabling #WindowsDefender so the #torch dlls properly install so I can run comfyui-zluda, a fork of #comfyui which uses #zluda which is a shim for #CUDA applications to use #AMD #HIP SDK so I can download #stableDiffusion and run it on my #Radeon #GPU because #Amuse won't let me generate porn.
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Uninstalling the #MicrosoftStore version of #Python and disabling #WindowsDefender so the #torch dlls properly install so I can run comfyui-zluda, a fork of #comfyui which uses #zluda which is a shim for #CUDA applications to use #AMD #HIP SDK so I can download #stableDiffusion and run it on my #Radeon #GPU because #Amuse won't let me generate porn.
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Uninstalling the #MicrosoftStore version of #Python and disabling #WindowsDefender so the #torch dlls properly install so I can run comfyui-zluda, a fork of #comfyui which uses #zluda which is a shim for #CUDA applications to use #AMD #HIP SDK so I can download #stableDiffusion and run it on my #Radeon #GPU because #Amuse won't let me generate porn.