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Originally created by @Pekkari on GitHub (Sep 16, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/12303
Originally assigned to: @dhiltgen on GitHub.
What is the issue?
Hi,
rocm 7.0 is coming, and nowadays building it using TheRock seems to be possible, both following the ubuntu instructions on the ubuntu docker image, and the manylinux version, which is more appropriate for integrating it with Ollama, so I run a build of TheRock using the following instructions:
I copied over the build/dist/rocm folder to the root of the project and did these small modifications to ollama source code to consume the rocm installation on podman build:
With these, I can run a test build that doesn't require HSA_OVERRIDE_GFX_VERSION to detect the gpu, so by running:
I get the following output that detects and attempts to use the gpu for inference when using gemma3:
However, the layers are reportedly not offloaded to the GPU as we see the snippet:
No other kind of errors seems to be visible, just that the GPU is detected and loaded, and then when attempted to load some llayers in GPU it just doesn't.
Thanks!
Relevant log output
OS
Fedora 42
GPU
Radeon 780M Graphics
65:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1 (rev c5)
CPU
AMD Ryzen 7 8845HS
Ollama version
v0.11.10
@rick-github commented on GitHub (Sep 16, 2025):
No ROCm backends found. What's in
/usr/lib/ollama?@Pekkari commented on GitHub (Sep 16, 2025):
So both libggml-hip.so is there and the rocm folder:
@Pekkari commented on GitHub (Sep 16, 2025):
I was quite quick, it just got the news of the release, so now it is possible to just change the version of rocm from 6.3.3 to 7.0 and try your chances, no build of your own anymore, so I'm on my way to try it out. Probably the small changes on the CMakeLists.txt file and discover/amd_linux.go are still needed to find the new versions.
@Pekkari commented on GitHub (Sep 16, 2025):
still same after building, but now the variables to override are needed to show some sort of attempt to use the GPU:
@rick-github commented on GitHub (Sep 16, 2025):
ROCm backend still not found.
@Pekkari commented on GitHub (Sep 16, 2025):
Yes, this time seems to be a missing aco files, since it is possible to find rocm in the former path, but it only includes gfx1101, and gfx1102 aco files, no gfx1103, so seems that self building is mandatory:
@Pekkari commented on GitHub (Sep 17, 2025):
I repeated the rocm build today following the instructions listed up here, and rebuilt ollama this time using this diff in the dockerfile:
Build went alright, but still the output shows no backend found:
And the files reportedly are there now:
Thanks!
@waltercool commented on GitHub (Sep 24, 2025):
Did you found a solution or workaround for this? I have exactly same problem with gfx1151 using rocm7.0
@Pekkari commented on GitHub (Sep 24, 2025):
I didn't, I found this review, so currently seems to be that vulkan inference works better for amd platforms, but of course may depend in the platform, etc, it is a bit unfair to say that may apply to ours since we didn't get rocm 7.0 working first place.
@waltercool commented on GitHub (Sep 24, 2025):
It may underperform, but should work anyways.
While gfx1151 is not supported with rocm7.0, it works "mostly fine" to me with Comfyui.
@Pekkari commented on GitHub (Sep 24, 2025):
Agreed, indeed, the review I pointed is that same target, so phoronix guys got it to work, that was the strix halo, not mine, mine is an older one. From cmake/therock_amdgpu_targets.cmake:
So both should work even when not supported.
@dhiltgen commented on GitHub (Sep 24, 2025):
@Pekkari you should enable debug logging to see more details of what it's trying and hopefully why it's failing.
OLLAMA_DEBUG=1My suspicion is there's a dependency that's not in the LD_LIBRARY_PATH so when we attempt to dlopen
libggml-hip.soit fails due to that missing dependency. Useldd /usr/lib/ollama/libggml-hip.soand then verify all the dependencies are in directories being passed to the runner subprocess.@waltercool commented on GitHub (Sep 24, 2025):
Hi @dhiltgen ,
When using vanilla ollama, removing the iGPU restriction it seems to not detect/use GTT. I have configured 512MB UMA, 110GB GTT.
So, it goes for CPU offloading.
When using ollama-linux-amd-apu, seems like there is a problem with data structure for iGPU here
@Pekkari commented on GitHub (Sep 25, 2025):
Full output comes since I fail to narrow what the issue seems to be from it:
@dhiltgen commented on GitHub (Sep 26, 2025):
@Pekkari from the logs, it looks like it does try to load from the rocm runner directory
Did you check to see what the dependencies are with
ldd?@waltercool it looks like you have an iGPU - currently we only work properly on these if your BIOS allows you to dedicate more system memory to the GPU. We're working on trying to improve this.
@Pekkari commented on GitHub (Sep 26, 2025):
and you are correct here, after adding the following to the library path:
And modifying the CMakeList.txt with this patch:
The rocm backend became active:
@Mannshoch commented on GitHub (Nov 12, 2025):
Any update on this issue. I would love it to use an updated Rocm and ubuntu.
I would love to see kernel 6.14 with AMDXDNA.
(If I under stood right that schould boost )
@Pekkari commented on GitHub (Nov 13, 2025):
this ticket was for GPU inference, it didn't have anything to do with NPU inference. So far, the fixes contributed went out of date, and I have in my agenda to retry this with rocm 7.9. As long as the build of the new version happens smooth, the instructions here should still provide an usable rocm to integrate with ollama, and from the patch set, some of the patches can be dropped.
@dhiltgen commented on GitHub (Mar 11, 2026):
Release 0.17.8 updates Linux to ROCm v7 which covers support for this GPU. Please give the RC a try and let us know if you run into any problems.
@Pekkari commented on GitHub (Mar 14, 2026):
I'm afraid I did, look:
and without overriding anything:
@Pekkari commented on GitHub (Mar 15, 2026):
seems like librocblas.so is crashing:
Some coredump attached.
This dump is taken with the ollama 0.18.0 image, pulled today.
@waltercool commented on GitHub (Mar 15, 2026):
Uhm it works fine to me using the ollama binaries + ollama's ROCm package.
Also works fine to me using system ROCm 7.2 + building ollama from source.
Now, I'm using gfx1151, not gfx1103.
I would recommend you to do some tests if possible:
@Pekkari commented on GitHub (Mar 15, 2026):
Thanks for your attempt, but if you are not testing in the platform the ticket is referring to, I'm afraid it is useless, I'mm happy to test anything that seems to work on your end if you are testing on the same platform.
@waltercool commented on GitHub (Mar 15, 2026):
But your GPU is not officially supported by AMD, I don't think people from here will help you if that's the case.
I would recommend you to use the Vulkan backend instead
@Pekkari commented on GitHub (Mar 15, 2026):
Oh yes, that I do, no problem.
@altad3005 commented on GitHub (Apr 20, 2026):
Setup: Minisforum UM880 Plus — AMD Ryzen 7 8845HS / Radeon 780M (gfx1103) / 32GB DDR5
OS: Ubuntu 24.04 LXC unprivileged on Proxmox VE 9.1.7
Ollama: 0.21.0 (community-scripts install) + manual update via install.sh
Devices passed: /dev/dri/card0, /dev/dri/renderD128, /dev/kfd
Results:
ROCm: GPU detected, prompt eval uses GPU (~14-90 t/s) but generation (eval rate) stays on CPU (~3 t/s). offloaded 0/35 layers to GPU despite GPU being detected and VRAM available.
Vulkan (OLLAMA_VULKAN=1): qwen2.5:3b → 12.79 t/s ✅, qwen2.5:7b → 5.57 t/s, qwen2.5:14b → 3 t/s (still CPU).
Conclusion: Vulkan works partially — smaller models benefit, larger ones still fall back to CPU. ROCm generation offload completely broken on gfx1103 in LXC context.