Skip to content

fix(vllm): cap gpu_memory_utilization for encoder-only vision model load #8466

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
dmitry-tokarev-nv merged 3 commits into from
Apr 22, 2026
Merged

fix(vllm): cap gpu_memory_utilization for encoder-only vision model load #8466

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
b7ea2dc
fix(vllm): cap gpu_memory_utilization for encoder-only vision model load
furionw Apr 21, 2026
4f671c9
Merge main to pick up OPS-4445 skip markers (to be removed by the nex…
furionw Apr 21, 2026
7d1b42e
test(serve): re-enable qwen3-vl-2b e_pd/epd/epd-video multimodal disa…
furionw Apr 21, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions components/src/dynamo/vllm/multimodal_utils/model.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -173,6 +173,9 @@ def load_vision_model(model_id: str, enforce_eager: bool = False) -> torch.nn.Mo
vllm_model = LLM(
model=model_id,
enforce_eager=enforce_eager,
# vLLM's free-memory precheck runs before kv_cache_memory_bytes applies;
# default 0.9 fails on <=24 GiB GPUs when another worker shares the device.
gpu_memory_utilization=0.2,
kv_cache_memory_bytes=1024
* 1024
* 64, # 64MB KV cache for vLLM to complete the init lifecycle, encoder-only doesn't require KV cache.
Expand Down
24 changes: 3 additions & 21 deletions tests/serve/multimodal_profiles/vllm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,24 +29,12 @@
profiled_vram_gib=9.6,
),
"e_pd": TopologyConfig(
marks=[
pytest.mark.skip(
reason="vLLM engine core init fails on disagg e_pd. "
"https://linear.app/nvidia/issue/OPS-4445"
),
pytest.mark.pre_merge,
],
marks=[pytest.mark.pre_merge],
timeout_s=340,
single_gpu=True,
),
"epd": TopologyConfig(
marks=[
pytest.mark.skip(
reason="vLLM engine core init fails on disagg epd. "
"https://linear.app/nvidia/issue/OPS-4445"
),
pytest.mark.pre_merge,
],
marks=[pytest.mark.pre_merge],
timeout_s=300,
single_gpu=True,
),
Expand All @@ -68,13 +56,7 @@
delayed_start=60,
),
"epd": TopologyConfig(
marks=[
pytest.mark.skip(
reason="vLLM engine core init fails on disagg epd. "
"https://linear.app/nvidia/issue/OPS-4445"
),
pytest.mark.pre_merge,
],
marks=[pytest.mark.pre_merge],
timeout_s=600,
delayed_start=60,
single_gpu=True,
Expand Down
Loading