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OpenDAS
vllm_cscc
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e269be2b
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Commit
e269be2b
authored
Aug 25, 2025
by
Cyrus Leung
Committed by
GitHub
Aug 25, 2025
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[Doc] Add caution for API server scale-out (#23550)
Signed-off-by:
DarkLight1337
<
tlleungac@connect.ust.hk
>
parent
5c4b6e66
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docs/configuration/optimization.md
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e269be2b
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@@ -196,6 +196,13 @@ vllm serve Qwen/Qwen2.5-VL-3B-Instruct --api-server-count 4 -dp 2
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@@ -196,6 +196,13 @@ vllm serve Qwen/Qwen2.5-VL-3B-Instruct --api-server-count 4 -dp 2
!!! note
!!! note
API server scale-out is only available for online inference.
API server scale-out is only available for online inference.
!!! warning
By default, 8 CPU threads are used in each API server to load media items (e.g. images)
from request data.
If you apply API server scale-out, consider adjusting `VLLM_MEDIA_LOADING_THREAD_COUNT`
to avoid CPU resource exhaustion.
!!! note
!!! note
[
Multi-modal processor cache
](
#processor-cache
)
is disabled when API server scale-out is enabled
[
Multi-modal processor cache
](
#processor-cache
)
is disabled when API server scale-out is enabled
because it requires a one-to-one correspondance between API and engine core processes.
because it requires a one-to-one correspondance between API and engine core processes.
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