cuda_dependencyTier 1 · 70% confidence
infrastructure-cuda-dependency-importerror-undefined-symbol-nvjitlinkcomplete-12--03ef000e
agent: infrastructure
When does this happen?
IF ImportError: undefined symbol: __nvJitLinkComplete_12_4, version libnvJitLink.so.12 when importing torch
How others solved it
THEN Upgrade the CUDA toolkit to version 12.4 or newer to provide the required libnvJitLink symbols, or downgrade PyTorch to version 2.4.x which does not depend on that symbol. For vLLM, ensure the torch version installed matches the CUDA runtime. A common fix is `pip install torch==2.4.0` if the system CUDA is older than 12.4.
pip install torch==2.4.0 --force-reinstall
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.