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hoyyeva/anthropic-local-image-path
dhiltgen/ci
dhiltgen/llama-runner
parth-remove-claude-desktop-launch
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Originally created by @Haiwen-Yin on GitHub (Mar 16, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/14869
What is the issue?
After upgrading Ollama to version 0.18.0 and extracting the relevant files, the model cannot use the GPU memory properly when started.
The hardware is AMD Ryzen AI Max+395, and ROCm has already been installed.
I have already rollback to 0.17.7, no logs anymore.
Relevant log output
OS
Windows
GPU
AMD
CPU
AMD
Ollama version
0.18.0
@rick-github commented on GitHub (Mar 16, 2026):
What version of ROCm is installed? 0.18.0+ needs ROCm 7.
@Jasdfgh commented on GitHub (Mar 16, 2026):
could you try reinstalling 0.18.0 and capturing the logs before rolling back? on Windows they should be at %LOCALAPPDATA%\Ollama\server.log. looking for whether ROCm detects the GPU at all (should show a line like inference compute with your GPU info).
one thing worth checking: is your VRAM allocation set to "Auto" or a fixed size in BIOS? there have been issues with Ryzen AI APUs where dynamic VRAM mode causes GPU detection to fail (#11451). if it's on Auto, try setting a fixed VRAM size.
also, what driver version are you on?
@mcpata2002 commented on GitHub (Mar 17, 2026):
Same for me using ollama/ollama:rocm docker image on Debian 12.
OS
Debian 12
CPU and GPU
AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Ollama version
0.18.0
hipconfig -v
7.2.26015-fc0010cf6a
HSA System Attributes
ROCk module version 6.16.13 is loaded
HSA System Attributes
Runtime Version: 1.18
Runtime Ext Version: 1.15
System Timestamp Freq.: 1000.000000MHz
Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
Machine Model: LARGE
System Endianness: LITTLE
Mwaitx: DISABLED
XNACK enabled: NO
DMAbuf Support: YES
VMM Support: YES
Output when I start ollama serve via the docker image.
@rick-github commented on GitHub (Mar 17, 2026):
Don't set
HSA_OVERRIDE_GFX_VERSION.@Haiwen-Yin commented on GitHub (Mar 17, 2026):
ROCm 7.1.1 installed
@rick-github commented on GitHub (Mar 17, 2026):
Server logs will aid in debugging.
@jdblns commented on GitHub (Mar 17, 2026):
@rick-github commented on GitHub (Mar 17, 2026):
Don't set
HSA_OVERRIDE_GFX_VERSION. SetOLLAMA_DEBUG=2and post the log.@jdblns commented on GitHub (Mar 17, 2026):
@rick-github commented on GitHub (Mar 17, 2026):
@jdblns commented on GitHub (Mar 17, 2026):
/var/log/syslog
@rick-github commented on GitHub (Mar 17, 2026):
Searching for "amdxdna_drm_open: SVA bind device failed" shows lots of results, seems to be a kernel issue. It's not clear what version of ROCm you are using, if not 7.x try upgrading. You can try alternative kernels or run the vulkan driver:
@jdblns commented on GitHub (Mar 17, 2026):
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=device.go:245 msg="model weights" device=CPU size="170.2 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=device.go:251 msg="kv cache" device=ROCm0 size="19.3 GiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=device.go:262 msg="compute graph" device=ROCm0 size="665.6 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=device.go:267 msg="compute graph" device=CPU size="4.0 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=device.go:272 msg="total memory" size="37.7 GiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=server.go:782 msg=memory success=true required.InputWeights=178421760 required.CPU.Graph=4194304 required.ROCm0.ID=0 required.ROCm0.Weights="[58693376 416184320 416184320 363468800 415373312 364279808 363468800 415373312 364279808 363468800 415373312 364279808 363468800 415373312 364279808 363468800 415373312 364279808 363468800 415373312 364279808 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 416184320 260206592]" required.ROCm0.Cache="[441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 441188352 0]" required.ROCm0.Graph=697962112
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=server.go:976 msg="available gpu" id=0 library=ROCm "available layer vram"="93.7 GiB" backoff=0.00 minimum="457.0 MiB" overhead="0 B" graph="665.6 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=DEBUG source=server.go:793 msg="new layout created" layers="48[ID:0 Layers:48(0..47)]"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=INFO source=runner.go:1284 msg=load request="{Operation:commit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:Enabled KvSize:202752 KvCacheType: NumThreads:16 GPULayers:48[ID:0 Layers:48(0..47)] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=INFO source=ggml.go:482 msg="offloading 47 repeating layers to GPU"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=INFO source=ggml.go:489 msg="offloading output layer to GPU"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=INFO source=ggml.go:494 msg="offloaded 48/48 layers to GPU"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=INFO source=device.go:240 msg="model weights" device=ROCm0 size="17.5 GiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.837Z level=INFO source=device.go:245 msg="model weights" device=CPU size="170.2 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=device.go:251 msg="kv cache" device=ROCm0 size="19.3 GiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=device.go:262 msg="compute graph" device=ROCm0 size="665.6 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=device.go:267 msg="compute graph" device=CPU size="4.0 MiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=device.go:272 msg="total memory" size="37.7 GiB"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=sched.go:565 msg="loaded runners" count=1
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=server.go:1350 msg="waiting for llama runner to start responding"
Mar 17 14:42:10 horse ollama[68153]: time=2026-03-17T14:42:10.838Z level=INFO source=server.go:1384 msg="waiting for server to become available" status="llm server loading model"
Mar 17 14:42:11 horse ollama[68153]: time=2026-03-17T14:42:11.090Z level=DEBUG source=server.go:1394 msg="model load progress 0.23"
Mar 17 14:42:11 horse ollama[68153]: time=2026-03-17T14:42:11.341Z level=DEBUG source=server.go:1394 msg="model load progress 0.46"
Mar 17 14:42:11 horse ollama[68153]: time=2026-03-17T14:42:11.592Z level=DEBUG source=server.go:1394 msg="model load progress 0.69"
Mar 17 14:42:11 horse ollama[68153]: time=2026-03-17T14:42:11.843Z level=DEBUG source=server.go:1394 msg="model load progress 0.94"
Mar 17 14:42:11 horse ollama[68153]: time=2026-03-17T14:42:11.913Z level=DEBUG source=ggml.go:324 msg="key with type not found" key=glm4moelite.pooling_type default=0
Mar 17 14:42:12 horse ollama[68153]: time=2026-03-17T14:42:12.095Z level=INFO source=server.go:1388 msg="llama runner started in 2.60 seconds"
Mar 17 14:42:12 horse ollama[68153]: time=2026-03-17T14:42:12.095Z level=DEBUG source=sched.go:577 msg="finished setting up" runner.name=registry.ollama.ai/library/glm-4.7-flash:q4_K_M runner.inference="[{ID:0 Library:ROCm}]" runner.size="37.7 GiB" runner.vram="37.7 GiB" runner.parallel=1 runner.pid=68226 runner.model=/home/ollama/models/blobs/sha256-9eba2761cf0b88b8bc11a065a7b5b47f1b13ce820e8e492cb1010b450f9ec950 runner.num_ctx=262144
Mar 17 14:42:12 horse ollama[68153]: time=2026-03-17T14:42:12.114Z level=DEBUG source=server.go:1536 msg="completion request" images=0 prompt=76 format=""
Mar 17 14:42:12 horse ollama[68153]: time=2026-03-17T14:42:12.128Z level=DEBUG source=cache.go:151 msg="loading cache slot" id=0 cache=0 prompt=13 used=0 remaining=13
I followed the method Gemini gave me:
Critical Log Analysis
This log is vital as it reveals a deep-seated conflict: the AMD NPU (XDNA) driver and the GPU (amdgpu) driver are competing for resources on the highly integrated Strix Halo chip, leading to a Shared Virtual Addressing (SVA) binding failure.
The "smoking gun" is this specific error line:
amdxdna 0000:c6:00.1: [drm] ERROR amdxdna_drm_open: SVA bind device failed, ret -19
This indicates that the system's IOMMU/SVA failed while attempting to establish memory mapping for the NPU. Consequently, when the GPU's rocBLAS tried to initialize immediately after, it triggered the PERMISSION_FAULTS: 0x3.
Since your attempt using env -i was unsuccessful, we must implement a more thorough isolation at the system level. Please follow these steps:
On the Strix Halo architecture, the NPU and GPU share the same memory bus. Current Linux drivers (specifically amdxdna) often cause IOMMU state exceptions when handling large memory allocations exceeding 64GB.
Blacklist the NPU driver to see if it restores GPU functionality:
Create a blacklist file: sudo nano /etc/modprobe.d/blacklist-xdna.conf
Add the following content: blacklist amdxdna
Save and update: sudo update-initramfs -u
Reboot your computer.
Your previous env -i command wiped all environment variables, which prevents the gfx1151 from being identified (Ollama requires HSA_OVERRIDE_GFX_VERSION for proper spoofing).
After rebooting, use this full command to start manually:
Bash
Stop the background service
sudo systemctl stop ollama
Manually inject key variables and start
export HSA_OVERRIDE_GFX_VERSION=11.5.1
export HSA_XNACK=0
export OLLAMA_DEBUG=2
export ROCR_VISIBLE_DEVICES=0
/usr/local/bin/ollama serve
3. Check IOMMU Status
If the PERMISSION_FAULTS persist, verify if iommu=off is actually active.
Run: cat /proc/cmdline
Confirm: Check if iommu=off appears in the output.
If it shows iommu=on or iommu=pt, you must go into your BIOS settings, locate the "IOMMU" option, and set it to Disabled.
Note: On some Strix Halo firmware, even if you specify off in Grub, the kernel may still attempt to initialize DMAR tables if IOMMU is enabled in BIOS, obstructing the 40CU GPU from accessing memory.
There is an interesting line in your log:
free: 102082875392 total: 102271614976
This shows that the driver actually detects over 95GB of available space. This exceeds your 64GB BIOS setting because the driver is attempting to use the system's GTT (Graphics Translation Table) shared space.
The current bottleneck: The driver "sees" the memory, but because the SVA bind device failed, it doesn't have the "knife" (access permissions) to use it.
Summary of Recommendations
Blacklist amdxdna (the XDNA driver is currently extremely unstable with large memory mappings).
Disable IOMMU in BIOS (if the option is available).
Relaunch using the command with the specified environment variables.
Once you have blacklisted the driver and rebooted, please run ollama serve again. If the error message changes (e.g., it is no longer a Permission Fault), let me know!
@slojosic-amd commented on GitHub (Mar 20, 2026):
https://rocm.docs.amd.com/en/latest/how-to/system-optimization/strixhalo.html
@gangrif commented on GitHub (Mar 22, 2026):
Ive run into this issue tonight on a Framework desktop, new installation.
After several hours muddling through this with assistance from Claude, i have the following info:
Here is some of the info Claude and I gathered while troubleshooting, if its helpful.
Hardware: Framework Desktop, AMD Ryzen AI Max 385 (Strix Halo), 32GB unified memory, RHEL 10 image mode, Podman container using ollama/ollama:rocm (Ollama 0.18.2, ROCm 7.2.0)
GPU is correctly detected by the kernel:
[ 6.520007] kfd kfd: amdgpu: Allocated 3969056 bytes on gart
[ 6.520015] kfd kfd: amdgpu: Total number of KFD nodes to be created: 1
[ 6.520417] kfd kfd: amdgpu: added device 1002:1586
HSA topology correctly identifies the device as gfx1151:
gfx_target_version 110501
simd_count 64
The ROCm container (7.2.0) does include compiled gfx1151 kernels:
/usr/lib/ollama/rocm/rocblas/library/Kernels.so-000-gfx1151.hsaco
/usr/lib/ollama/rocm/rocblas/library/TensileLibrary_..._fallback_gfx1151.hsaco
The actual failure — SIGSEGV during rocBLAS initialization:
ggml_cuda_init: found 1 ROCm devices:
ggml_cuda_init: initializing rocBLAS on device 0
SIGSEGV: segmentation violation
PC=0x7ff0c88f8170 m=0 sigcode=1 addr=0x34
signal arrived during cgo execution
goroutine 1 gp=0xc000002380 m=0 mp=0x55ea353b5c80 [syscall]:
runtime.cgocall(0x55ea3404f800, 0xc00029f710)
github.com/ollama/ollama/ml/backend/ggml/ggml/src._Cfunc_ggml_backend_load_all_from_path
github.com/ollama/ollama/ml/backend/ggml/ggml/src.init.func1.1
addr=0x34 is a null pointer dereference (offset 52 from null) inside rocBLAS handle initialization.
Things that did NOT fix the ROCm crash:
HSA_OVERRIDE_GFX_VERSION=11.0.0 or 11.5.1
GGML_HIP_UMA=1
HSA_ENABLE_UNIFIED_MEMORY=1
Ulimit=memlock=-1:-1
Increasing UMA Frame Buffer to 16GB in BIOS (confirms memory size is not the root cause)
SELinux permissive mode
Memory state with 16GB UMA Frame Buffer:
mem_info_vram_total: 17179869184 (16GB)
mem_info_gtt_total: 16447606784 (~15.3GB)
heap_type 1 (system/unified memory)
Workaround: Switch from ollama/ollama:rocm to ollama/ollama:latest with OLLAMA_VULKAN=true. The standard image includes the RADV Vulkan backend (libvulkan_radeon.so, radeon_icd.json) which works correctly on gfx1151.
Result with Vulkan:
NAME ID SIZE PROCESSOR CONTEXT
llama3.1:8b 46e0c10c039e 11 GB 100% GPU 32768
@fdff87554 commented on GitHub (Apr 8, 2026):
Sharing my experience on the same hardware (Ryzen AI MAX+ 395 / Radeon 8060S / gfx1151) in case it's useful for anyone here. I ran into the same crash with
ollama/ollama:0.20.3-rocmon Ubuntu 24.04 in Docker, and want to share what ended up working for me.What I saw
The bootstrap discovery pass detected the GPU correctly:
But the second runner (the one started with
GGML_CUDA_INIT=1) exited within ~150 ms:What I tried before finding the fix
To narrow down which call was failing, I built small C tests against the libraries bundled in the container (
/usr/lib/ollama/rocm/). In my environment:hipInit/hipGetDeviceCount/hipSetDevicehipGetDeviceProperties(Radeon 8060S Graphics)hipMemGetInfo(98148 / 98304 MB)hipMalloc(64MB)/hipFreehipblasCreatehipblasLtCreateMemory access fault by GPU node-1 ... Page not present or supervisor privilegeI also tried a few env-var workarounds before going further:
HSA_OVERRIDE_GFX_VERSION(with no override,11.0.0, and11.5.0),HSA_ENABLE_SDMA=0, andROCBLAS_USE_HIPBLASLT=0. None of them changed the outcome on my system.What ended up working
While reading around, I found that AMD's Strix Halo system optimization guide lists Linux kernel 6.18.4+ as the minimum and recommends the kernel inbox amdgpu driver (rather than amdgpu-dkms) for Ryzen APUs. My system was on 6.17.0-20-generic, so I tried upgrading.
I installed mainline kernel 6.18.14 from https://kernel.ubuntu.com/mainline/v6.18.14/amd64/ (4 .deb files: linux-headers
_all, linux-headers-generic, linux-modules-generic, linux-image-unsigned-generic):After reboot, the existing
amdgpu-dkms 6.16.13no longer builds against 6.18.x, so the kernel inboxamdgpudriver takes over. ROCm 7.2.1 userspace (installed earlier via the AMD apt repo) kept working unchanged. No other changes needed.Result
ollama/ollama:0.20.3-rocmnow picks up the GPU with the full 111.6 GiB UMA allocation, and inference runs on the GPU.References I found useful
--no-dkms): https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/install/installryz/native_linux/install-ryzen.htmlCaveats