Lmst

#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

(more Linux news in original post)

Flatpak Exploring GPU Virtualization To Ease Driver Challenges:
https://www.phoronix.com/news/Flatpak-GPU-Virtualization

StarBook Horizon Linux Laptop Now on Sale with 32GB RAM, Wi-Fi 6E, and Coreboot:
https://9to5linux.com/starbook-horizon-linux-laptop-now-on-sale-with-32gb-ram-wi-fi-6e-and-coreboot

Big GPU & Kernel Update Headed to Ubuntu 24.04 LTS:
https://www.omgubuntu.co.uk/2026/01/ubuntu-24-04-4-lts-hwe-update-kernel-mesa

Latest SteamOS Beta Now Includes NTSYNC Kernel Driver:
https://www.phoronix.com/news/Steam-OS-Beta-NTSYNC

Steam Frame and Steam Machine will be another good boost for Flatpaks and desktop Linux overall too:
https://www.gamingonlinux.com/2026/01/steam-frame-and-steam-machine-will-be-another-good-boost-for-flatpaks-and-desktop-linux-overall-too/
(Flatpak already won the universal format war, and Valve also knows that. Get oughta here Canonical, no one wants your Snap crap.)

Ubuntu’s New ARM Steam Snap is Available for Testing:
https://www.omgubuntu.co.uk/2026/01/steam-snap-arm64-ubuntu-gaming-performance
(I said, no one wants your crap, Canonical lol)

NVIDIA to launch native Linux & Fire TV apps for its GeForce Now cloud gaming service soon:
https://alternativeto.net/news/2026/1/nvidia-to-launch-native-linux-and-fire-tv-apps-for-its-geforce-now-cloud-gaming-service-soon/

GStreamer 1.28 Release Candidate Now Available for Testing with Rust Goodies:
https://9to5linux.com/gstreamer-1-28-release-candidate-now-available-for-testing-with-rust-goodies

Wine 11.0-rc5 Brings 32 Bug Fixes:
https://www.phoronix.com/news/Wine-11.0-rc5

FEX 2601 Brings Various Fixes, Improvements For Wine & DXVK/VKD3D-Proton:
https://www.phoronix.com/news/FEX-Emu-2601

ZLUDA Adds CUDA 13.1 Compatibility For Running CUDA Apps On Non-NVIDIA Hardware:
https://www.phoronix.com/news/ZLUDA-CUDA-13.1-Compatibility

Linux 6.19-rc4 Released Following A Quiet Holiday Week, 6.19-rc8 Already Planned:
https://www.phoronix.com/news/Linux-6.19-rc4

Linux 6.19-rc5 To Fix Broken Nouveau Driver With Newer NVIDIA GPUs:
https://www.phoronix.com/news/Linux-6.19-rc5-DRM-Fixes

Apple SMC Power Driver Posted For Linux Kernel To Finally Expose Battery Stats:
https://www.phoronix.com/news/Apple-Silicon-Power-Driver-2026

Linux Working Around Audio Problems On The ASUS ROG Xbox Ally X:
https://www.phoronix.com/news/ASUS-Xbox-Ally-X-Linux-Audio

(FOSS news in comments)

#WeeklyNews #News #Linux #LinuxNews #Flatpak #Starbook #Ubuntu #SteamOS #Steam #NVIDIA #GeForceNow #GStreamer #GStreamer128 #Wine #FEX #ZLUDA #CUDA #LinuxKernel #Gaming #LinuxGaming #SteamFrame #SteamMachine #FosseryTech

#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 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

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.

#ai #llm #generativeAI

#ZLUDA Making Progress In 2025 On Bringing #CUDA To Non-NVIDIA #GPU
ZLUDA #opensource effort that started half-decade ago as drop-in CUDA implementation for #Intel GPUs and then for several years was funded by ##AMD as a CUDA implementation for #Radeon GPUs atop #ROCm and then open-sourced but then reverted has been continuing to push along a new path since last year. Current take on ZLUDA is a multi-vendor CUDA implementation for non-NVIDIA GPUs for #AI workloads & more.
https://www.phoronix.com/news/ZLUDA-Q2-2025-Update

GitHub - vosen/ZLUDA: CUDA on non-NVIDIA GPUs https://github.com/vosen/ZLUDA #OpenSource #graphics #GitHub #nvidia #ZLUDA #graka #intel #cuda #amd

ZLUDA https://vosen.github.io/ZLUDA/ #OpenSource #graphics #nvidia #ZLUDA #graka #intel #cuda #amd

#ZLUDA v4 Released For Initial #CUDA Support On Non-NVIDIA #GPU
Back in October ZLUDA decided to pursue a new life as an #opensource multi-GPU CUDA implementation with an emphasis on AI workloads. ZLUDA v4 was released as the first step to that new codebase. But before getting too excited, ZLUDA v4 support is quite limited and the only known intended program to be currently working is Geekbench with its CUDA benchmarks.
https://www.phoronix.com/news/ZLUDA-v4-Released

Анджей Яник (Andrzej Janik) представил обновление проекта ZLUDA, развивающего открытую реализацию технологии CUDA. Целью проекта является предоставление возможности запуска немодифицированных приложений CUDA на системах с GPU, отличных от GPU NVIDIA, с производительностью, близкой к производительности приложений, выполняемых без прослоек. Код проекта распространяется под лицензиями MIT и Apache 2.0.

ZLUDA 4 преподносится как первый выпуск, сформированный после чистки кодовой базы от кода, разработанного во время работы Анджея в компании AMD. С 2022 года Анджей работал в AMD над созданием слоя для совместимости GPU AMD с CUDA, но в 2024 году проект был свернут. В соответствии с условиями контракта и после получения разрешения на публикацию от представителя AMD, Анджей открыл код наработок, созданных во время работы в AMD и позволяющих выполнять CUDA-приложения поверх стека ROCm и runtime HIP (Heterogeneous-computing Interface for Portability). В октябре Анджей был вынужден убрать код из открытого доступа после письма от юристов, давших понять, что разрешение в ходе переписки по email не имеет юридической силы.

Новая редакция ZLUDA сформирована на основе кодовой базы, существовавшей до начала работы Анджея в AMD, не привязана к конкретным GPU и сосредоточена на выполнении приложений, использующих CUDA для ускорения задач, связанных с машинным обучением и искусственным интеллектом. Проект пока ограничивается работой на GPU AMD, но в дальнейшем будет адаптирован для GPU Intel. Выпуск ZLUDA 4 написан на языке Rust и ориентирован на выполнение тестового набора Geekbench 5.

Новая версия включает новый парсер для PTX, промежуточного языка, используемого в GPU NVIDIA. Выпуск также примечателен уходом от эмуляции специфичных для GPU NVIDIA инструкций инкремента и декремента по модулю, вместо которых теперь вызываются аналогичные инструкции GPU AMD. Указанные изменения позволили добиться повышения производительности при прохождении теста Geekbench примерно на 10%, по сравнению с OpenCL и веткой ZLUDA 3.

Хештеги:
#ZLUDA #CUDA #OpenSource #AndrzejJanik #GPU #MachineLearning #ArtificialIntelligence #RustLanguage #AMD #ROCm #HIP #OpenCL #Geekbench #TechUpdate #SoftwareDevelopment #CrossPlatform
Библиография:
**Яник, Анджей.** (2024). Обновление проекта ZLUDA. [Интернет-ресурс].
**CUDA и ROCm.** Heterogeneous-computing Interface for Portability: технологии и использование. Apache Software Foundation.
**Geekbench 5.** Кроссплатформенный тест производительности.
**Rust Language.** Программирование на Rust: особенности и преимущества.
**AMD GPU.** ROCm и его возможности. Технический обзор.
Если нужна дополнительная доработка, уточните, пожалуйста!

Проект поддерживает Windows и Linux, MacOS не поддерживается
https://github.com/vosen/ZLUDA/

https://pocketnet.app/lms_art?s=4e1db2f9a84ce3f28964e8676c2237187a219b5725547f1028133d906535ac24&ref=PDQmXtWJfd8f6fMtwaxzCuqvLpoN3KbS4o

Another great news for this 2025: #ZLUDA lives

I'm eager for this library to take off. While NVIDIA dominates the market, there are decent iGPU like the Radeon 680M/780M/870M and Intel Arc on Ultra 200 Series.

https://www.phoronix.com/news/ZLUDA-v4-Released

#CUDA #NVIDIA #RTX #AI #ML #LM #LLM #LargeLanguageModels #AMD #Radeon #Intel #IntelArc #Battlemage #B570 #PC #PCHardware #Hardware #GPU #iGPU #dGPU

I just had a thought. if #ZLUDA gets good enough, would it be possible to inject it into a game and get #DLSS instead of #FSR on #AMD?

@dexter Here's the AMD w/ CUDA support/library/api/shim/translation/thing that came up the other day:

> ZLUDA is a drop-in replacement for CUDA on non-NVIDIA GPU. ZLUDA allows to run unmodified CUDA applications using non-NVIDIA GPUs with near-native performance.

- https://vosen.github.io/ZLUDA/blog/zludas-third-life/
- https://github.com/vosen/ZLUDA

#forDiscussion #gpu #ai #cuda #amd #nvidia #zluda #opencl #machineLearning

Individual benchmarks for ZLUDA, normalized to OpenCL (higher is better)

https://github.com/vosen/ZLUDA

#ZLUDA Takes On Third Life: #OpenSource Multi-GPU #CUDA Implementation Focused On AI
ZLUDA is being rebuilt to focus on multi-GPU vendor support and will take a particular emphasis on #machinelearning / #AI type workloads. Previously ZLUDA was more focused on enabling professional creator workloads while now it will be more focused on CUDA-based AI/#ML software. The new ZLUDA code will be focused on #RDNA1 and newer support along with #ROCm 6.1+ compute stack support.
https://www.phoronix.com/news/ZLUDA-Third-Life

Linux desktop showing NVidia CUDA version

This week, we dive into Valve’s mysterious new project, White Sands. Plus, Intel’s Battlemage finally has a release date, AMD taps the brakes on CUDA emulation, and game demos on Steam are becoming a problem. Oh, and we’ll share our thoughts on dealing with joke reviews.

https://linuxgamecast.com/2024/08/white-sands-is-not-half-life-3-probably/

#ZLUDA

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