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parth-mlx-decode-checkpoints
dhiltgen/ci
hoyyeva/editor-config-repair
parth-launch-codex-app
hoyyeva/fix-codex-model-metadata-warning
hoyyeva/qwen
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Reference: github-starred/ollama#56148
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Originally created by @aibin8910 on GitHub (Mar 21, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/14989
功能描述(Feature Description)
建议Windows 11版本尽快增加对AMD R9系列显卡的官方支持,重点实现对gfx1201架构显卡的兼容适配,确保该架构显卡能正常识别、稳定运行,并充分发挥硬件性能,解决目前该系列显卡无法被识别、运行异常或性能无法释放的问题。
其中,gfx1201架构对应AMD RDNA 4核心,涵盖Radeon R9系列相关型号(如Radeon AI Pro R9700)及同架构衍生显卡,该架构显卡具备较强的图形处理和计算能力,当前Windows版本暂未实现对其的有效支持,影响相关用户的正常使用体验。
需求背景与使用场景(Background & Use Cases)
随着AMD R9系列gfx1201架构显卡的普及(如Radeon AI Pro R9700等型号),越来越多Windows用户开始使用该类显卡进行AI部署场景。但目前Windows版本的软件/系统组件暂未适配该架构显卡,导致出现以下问题:
AI 模型推理时,显卡无法被正常识别加载;
即使手动改成Vulkan方案,AI推理计算及其不稳定,出现启动失败、闪退或功能灰色不可用的情况;
部分场景下AI计算,即使勉强运行,也会出现性能严重损耗问题,无法发挥gfx1201架构的硬件优势。
典型使用场景包括:
专业用户使用Radeon AI Pro R9700等gfx1201架构显卡进行本地AI模型部署,需要软件充分调用显卡计算资源;
工作站用户采用多卡(如2张Radeon AI Pro R9700)配置,用于高性能计算场景,需系统/软件对该架构显卡提供完善的多卡支持。
预期效果(Expected Behavior)
Ollama Windows版本软件/系统能正确识别AMD R9系列gfx1201架构显卡, 正确加载模型到GPU进行计算;
显卡驱动能正常加载,软件可稳定调用显卡资源,无启动失败、闪退、卡顿等异常情况;
充分适配gfx1201架构特性,确保显卡性能正常释放,AI计算场景下的性能表现与硬件规格匹配;
支持多卡配置(如Radeon AI Pro R9700多卡堆叠)的正常识别与协同工作,满足工作站高性能计算需求;
适配AMD官方最新驱动,确保后续驱动更新后仍能保持良好的兼容性。
希望开发团队能重视该需求,尽快推进AMD R9系列gfx1201显卡的适配工作,提升Windows版本的兼容性和用户体验,感谢!
Labels: enhancement, windows, gpu-support, amd-r9
@xiaoxihooo-source commented on GitHub (Mar 28, 2026):
确实,9700开售这么久了,一直无法完美使用!
@aibin8910 commented on GitHub (Mar 31, 2026):
我已经卸载了Ollama,改成使用LM Studio了,可以完美的运行在AMD R9700显卡。