ML/DL. I'am planning to buy Nvidia RTX 3080 but it only has 10GB of VRAM which according to videos/information that I saw it's not really enough for ML/DL. However for AMD card they have rx 6800xt with 16GB of VRAM and also they're currently developing their ROCm for windows. Is...
ROCm on Windows Starting with ROCm 5.5, the HIP SDK brings a subset of ROCm to developers on Windows. The collection of features enabled on Windows is referred to as the HIP SDK. These features allow developers to use the HIP runtime, HIP math libraries and HIP Primitive libraries. The fo...
(KCPP-F) is a fork of the experimental branch of KoboldCPP (KCPP), mainly aimed at NVidia Cuda users (I'm myself using Ampere GPUs, it MIGHT support the other backends also, everything is compîled but Hipblas/ROCm, but it's not tested), with a few modifications accordingly to my...
CMAKE_ARGS="-DGGML_HIPBLAS=on" pip install nexaai --prefer-binary --index-url https://nexaai.github.io/nexa-sdk/whl/rocm621 --extra-index-url https://pypi.org/simple --no-cache-dir Local Build How to clone this repo git clone --recursive https://github.com/NexaAI/nexa-sdk If...
language like Mojo. There are so many different ways to get code onto so many different kinds of compute engines that it is enough to make your stomach churn, and there is a modicum of lock-in, intended (as with Nvidia’s CUDA stack) or not (as with AMD’s ROCm and Intel’s ...
分享103 amd吧 龙芽道丹 如何使用tensorflow-rocm等A卡加速库 & 分享rocm源 & 网站建设一楼放源 自建:deb [arch=amd64] http://repo.amdgakuen.moe/rocm/apt/debian/ xenial main 官方:deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main (tensorflow-rocm在vega8的核显环境下,可以...
I'm seeing a proliferation of flags (mainly in rocm usage, but also cpu) and the documentation can't keep up. I want more of that to be captured somewhere - docs, samples, the compiler itself, etc. See one example here: iree/experimental/regression_suite/shark-test-suite-models/sdxl...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).SystemYou will need one of the following:An NVIDIA-based graphics card with 4 GB or more VRAM memory. An Apple computer ...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).SystemYou will need one of the following:An NVIDIA-based graphics card with 4 GB or more VRAM memory. An Apple computer ...
InvokeAI is supported across Linux, Windows and macOS. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver).SystemYou will need one of the following:An NVIDIA-based graphics card with 4 GB or more VRAM memory. An Apple computer ...