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[GH-ISSUE #14686] ROCm backend fails to initialize on AMD Radeon AI PRO R9700 (RDNA4, gfx1201) in Windows 11 #9504
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opened 2026-04-12 22:25:39 -05:00 by GiteaMirror
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Originally created by @aibin8910 on GitHub (Mar 7, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/14686
Description
I am using Ollama v0.17.7 on Windows 11 with an AMD Radeon AI PRO R9700 (RDNA4 architecture, gfx1201). The ROCm backend fails to initialize, falling back to CPU, even though the HIP SDK 7.1 is installed and the Vulkan backend works perfectly.
Environment
C:\Ollama)ollama-windows-amd64-rocm.zip(extracted toC:\Ollama\lib\ollama\)Expected BehaviorOllama should initialize the ROCm backend and utilize the GPU(s) for inference.
Actual BehaviorOllama detects the GPU (
description="AMD Radeon AI PRO R9700" compute=gfx1201) but then logsfiltering device which didn't fully initializeand falls back to CPU. The inference compute log shows only CPU.Steps Already Taken
HIP_VISIBLE_DEVICES=1andOLLAMA_DEBUG=1.ollama.exewith the one fromollama-windows-amd64.zipand copied ROCm libraries fromollama-windows-amd64-rocm.ziptoC:\Ollama\lib\ollama\.HSA_OVERRIDE_GFX_VERSION=12.0.1,12.0.0,11.0.0– all result in the same filtering.OLLAMA_VULKAN=1) works fine, utilizing both GPUs (see logs below).Relevant Logs (from
ollama servewithOLLAMA_DEBUG=1)The Vulkan backend successfully enumerates both GPUs:
AnalysisThe ROCm libraries bundled with Ollama (version 6.x, as indicated by
amdhip64_6.dll) do not include precompiled kernels forgfx1201(RDNA4). TheTensileLibrary_*files from the ROCm 6.2 build path (as seen in the user's attached file list) contain kernels only up togfx1151. Thus, even withHSA_OVERRIDE_GFX_VERSION, the HIP runtime cannot find suitable kernels for this architecture, leading to initialization failure.RequestPlease update the Windows ROCm support in Ollama to include
gfx1201(RDNA4). This could be achieved by:gfx1201to the existing ROCm 6.x package.Thank you for your work on Ollama! I'm happy to provide any additional information or testing if needed.
问题描述
我在 Windows 11 上使用 Ollama v0.17.7,显卡是 AMD Radeon AI PRO R9700(RDNA4 架构,gfx1201)。尽管已经安装了 HIP SDK 7.1,并且 Vulkan 后端可以完美运行,但 ROCm 后端始终初始化失败,最终回退到 CPU 运行。
环境信息
C:\Ollama)ollama-windows-amd64-rocm.zip(解压至C:\Ollama\lib\ollama\)预期行为Ollama 应能初始化 ROCm 后端并正常使用 GPU 进行推理。
实际行为Ollama 检测到 GPU(日志显示
description="AMD Radeon AI PRO R9700" compute=gfx1201),但随后出现filtering device which didn't fully initialize,最终只使用 CPU。推理日志显示inference compute仅为 CPU。已尝试的解决方案
HIP_VISIBLE_DEVICES=1和OLLAMA_DEBUG=1。ollama-windows-amd64.zip中的ollama.exe替换原文件,并将ollama-windows-amd64-rocm.zip中的所有文件复制到C:\Ollama\lib\ollama\。HSA_OVERRIDE_GFX_VERSION=12.0.1、12.0.0、11.0.0,均得到相同的过滤结果。OLLAMA_VULKAN=1)后,两张显卡均被成功识别并用于推理(见下方日志)。相关日志(
ollama serve并设置OLLAMA_DEBUG=1时的输出)Vulkan 后端成功枚举两张显卡:
问题分析Ollama 自带的 ROCm 库(版本 6.x,从
amdhip64_6.dll可以看出)没有为gfx1201(RDNA4)预编译内核。从用户提供的文件列表中,TensileLibrary_*文件中仅包含截至gfx1151的内核。因此,即使设置了HSA_OVERRIDE_GFX_VERSION,HIP 运行时也无法找到适合该架构的内核,导致初始化失败。请求希望官方能在 Windows 版的 ROCm 支持中添加
gfx1201(RDNA4)。具体途径可以是:gfx1201添加所需的内核编译。感谢 Ollama 团队的辛勤工作!如果需要更多信息或测试,请随时告知。
@trtr6842-git commented on GitHub (Mar 7, 2026):
This might be a little old:
https://github.com/ollama/ollama/issues/10430#issuecomment-3707294717
But since then I've added a R9700, and it works just fine:
Did you add the
ROCBLAS_TENSILE_LIBPATHenvironment variable pointing to...\AMD\ROCm\6.4\bin\rocblas\library?@Jasdfgh commented on GitHub (Mar 11, 2026):
based on what trtr6842-git mentioned: might be worth trying a clean ollama install (without the manual rocm zip replacement) + setting ROCBLAS_TENSILE_LIBPATH to your HIP SDK 7.1's rocblas library path. the manual file extraction could be what's conflicting.
your dual R9700 setup might hit a known issue with dual AMD GPUs on Windows. if things still don't work after the above, testing with HIP_VISIBLE_DEVICES=0 could help isolate that.
@aibin8910 commented on GitHub (Mar 11, 2026):
After adding ROCBLAS_TENSILE_LIBPATH, a new issue arose. When ollama loaded the qwen3.5-35B model, it encountered a 500 error. However, after switching to Vulkan, everything functioned normally. Currently, the HIP_VISIBLE_DEVICES=0,1 parameter is set
@Jasdfgh commented on GitHub (Mar 15, 2026):
nice, so ROCBLAS_TENSILE_LIBPATH got ROCm initializing — that's progress. the 500 on qwen3.5-35B specifically is interesting. could you share the ollama server log around the time of the 500? would help narrow down if it's a HIP kernel error (qwen 3.5 has a known dispatch overhead issue on ROCm, tracked at https://github.com/ggml-org/llama.cpp/issues/18823) or something else like OOM on the dual GPU split.
@aibin8910 commented on GitHub (Mar 16, 2026):
上面是详细的500错误的server.log
@aibin8910 commented on GitHub (Mar 16, 2026):
我现在已经配置了ROCBLAS_TENSILE_LIBPATH,关闭了Vulkan,模型换成了glm-4.7-flash,已经可以运行了;就是qwen3.5系列模型都无法运行。只能够使用Vulkan去跑qwen3.5系列模型。
@Jasdfgh commented on GitHub (Mar 18, 2026):
Qwen3.5 系列用了 DeltaNet 架构,会调 rocBLAS 的三角求解,gfx1201 上这个操作好像目前没有正确的 kernel。
GLM-4.7 是标准 transformer 不走这个路径所以没问题。
同款 GPU 同样的问题在 #14423 也有好几个人确认了。目前我认为 Vulkan 是最靠谱的绕过方案。
@aibin8910 commented on GitHub (Mar 20, 2026):
最新的情况发现,deepseek-r1的模型都无法使用GPU,只能够使用CPU计算,token输出速度deepseek-r1:70b只有2token/s,deepseek-r1:32b只有7token/s,无论是使用ROCm还是Vulkan,都无法使用GPU,也配置了HIP_VISIBLE_DEVICES=0.1;OLLAMA_NUM_GPU=2,都无法让GPU运行。
@slojosic-amd commented on GitHub (Mar 23, 2026):
FYI: https://github.com/ollama/ollama/pull/14979
@xiaoxihooo-source commented on GitHub (Mar 29, 2026):
ollama他们动作太慢了,我已经转用lm studio 了,虽然也不完美,但至少可以用
@aibin8910 commented on GitHub (Mar 31, 2026):
我也已经转用LM Studio了,虽然经常内存暴涨,至少能用起来了。