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Vulkan Support: LLMs for Everyone | Tabby AI coding assistant

It has long been the case that machine learning models are run on the GPU to improve their performance. The GPU is far more effective at the kinds of computations needed for AI than the CPU, and so GPU compute libraries such as Cuda and ROCm are typically used.However, requiring the support of these libraries can restrict which graphics cards are compatible, leaving many with older or less popular cards unable to run LLMs efficiently.Tabby is happy to announce that we now support Vulkan, a graphics library created primarily for games. Its original purpose means that it is designed to work on a very broad range of cards, and leveraging it to host LLMs means that we can now offer GPU acceleration to people whose cards are not supported by Cuda and ROCm.Vulkan works on basically any GPU, so if you have previously been forced to host local models on your CPU, now is the time to see what Tabby with Vulkan can do for you!Vulkan Installation​To begin, first make sure that you have Vulkan installed.For Windows users, Vulkan may be natively supported. Otherwise, the Vulkan SDK can be downloaded at https://vulkan.lunarg.com/sdk/home#windows.For Linux users, Vulkan can be installed through your package manager:Arch Linux: vulkan-icd-loader (universal), and also install vulkan-radeon (for AMD) or vulkan-nouveau (for Nvidia)Debian Linux: libvulkan1Tabby Installation​To start using Tabby with Vulkan, first download one of the pre-built Vulkan binaries for your platform:Linux: https://github.com/TabbyML/tabby/releases/download/v0.10.0/tabby_x86_64-manylinux2014-vulkanWindows: https://github.com/TabbyML/tabby/releases/download/v0.10.0/tabby_x86_64-windows-msvc-vulkan.exeRunning​Once you've installed the appropriate binary, you can simply run it from the command line:For Windows, open a command prompt and navigate to the download folder, then run:tabby_x86_64-windows-msvc-vulkan serve --model StarCoder-1B --device vulkanFor Linux:./tabby_x86_64-manylinux2014-vulkan serve --model StarCoder-1B --device vulkanWhen it starts, you should see a printout indicating that Vulkan has found your card and is working properly:Now enjoy your speedy completions!Stay Updated with Tabby NewsSubscribe to our newsletter for the latest updates and news about Tabby.Thank you! We've received your submission.Oops! Something went wrong. Please try again.

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Timeline cronologica

  1. martedì 19 maggio 2026·tabbyml.com

    Vulkan Support: LLMs for Everyone | Tabby AI coding assistant

    It has long been the case that machine learning models are run on the GPU to improve their performance. The GPU is far more effective at the kinds of computations needed for AI…

  2. martedì 19 maggio 2026·tabbyml.com

    Running Tabby Locally with AMD ROCm | Tabby AI coding assistant

    infoTabby's ROCm support is currently only in our nightly builds. It will become stable in version 0.9.For those using (compatible) AMD graphics cards, you can now run Tabby…