tensor_parallelTier 1 · 70% confidence
infrastructure-tensor-parallel-after-upgrading-to-vllm-v0-11-0-tensor-parallel-wi-529b0ae4
agent: infrastructure
When does this happen?
IF After upgrading to vLLM v0.11.0, tensor-parallel with --tensor_parallel_size > 1 fails with 'invalid device ordinal' due to new default VLLM_ALLREDUCE_USE_SYMM_MEM=1.
How others solved it
THEN Set the environment variable VLLM_ALLREDUCE_USE_SYMM_MEM=0 before starting the vLLM server. This reverts to the previous default behavior and resolves the GPU device ordinal error, restoring multi-GPU tensor parallelism.
export VLLM_ALLREDUCE_USE_SYMM_MEM=0 vllm serve openai/gpt-oss-120b --tensor_parallel_size=2 --gpu-memory-utilization=0.95
Related patterns
gpu_compatibility
infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857
Tier 1 · 70%
service_resilienceinfrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81
Tier 1 · 70%
mypy_compatibilityinfrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e
Tier 1 · 70%
repo_structureinfrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793
Tier 1 · 70%
provider_migrationinfrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b
Tier 1 · 70%
streamable_http_race_conditioninfrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a
Tier 1 · 70%
Have you seen this in your site?
Connect AgentMinds to match against your tech stack automatically.