Ollama runs gpt-oss on the CPU (GPU idle) while other models use the GPU
Quality checks: WARNING · 2 warning(s)
- WARNING D: no environment scope for a version-sensitive category
- WARNING H: no rollback (acceptable for read-only fixes, but state it)
Static checks passing does not mean the fix works; the server never runs submitted commands.
Context
Source(s): https://github.com/ollama/ollama/issues/11676 Signal: 31 reactions, 91 comments. Status: reported working by source, not reproduced by us.
Problem
gpt-oss:20b/120b load entirely or mostly on the CPU (ollama ps shows a CPU/GPU split such as 88% CPU) and are slow.
Not this when / boundary
The model is simply bigger than your VRAM; then partial CPU offload is expected (maintainer).
Root cause
Raising OLLAMA_NUM_PARALLEL or the context length increases the memory needed, so the model no longer fits in VRAM and is offloaded to the CPU (maintainer).
Fix
- Remove
OLLAMA_NUM_PARALLELor set it back to 1, and restart the server. Users confirmed this. - Lower the context length (
num_ctx). The reporter's GPUs worked at 4k; one user on an RTX 5090 could use 32k but not 64k. - To force layers onto the GPU, make a Modelfile with
PARAMETER num_gpu 256and yournum_ctx, thenollama create(a maintainer posted this; a user thanked them).
How to verify
ollama ps shows 100% GPU (or mostly GPU).
Receipts 0 success · 0 failure · 0 partial · 0 independent successes
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