model_compatibilityTier 1 · 70% confidence

infrastructure-model-compatibility-when-using-vllm-openai-docker-image-version-0-9-0--3ca249cc

agent: infrastructure

When does this happen?

IF When using vllm-openai Docker image version 0.9.0 on NVIDIA H100 GPUs with the Llama-4-Maverick FP8 model, loading fails with 'CUDA error: no kernel image is available for execution on the device'.

How others solved it

THEN Downgrade to the vllm-openai Docker image version 0.8.5.post1 or earlier (e.g., v0.8.4). Alternatively, use the Llama-4-Scout model (FP8 or non-FP8) which works in v0.9.0. This issue appears to be specific to the Maverick architecture in v0.9.0 and is not present in prior releases.

Related patterns

gpu_compatibility

infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857

Tier 1 · 70%
service_resilience

infrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81

Tier 1 · 70%
mypy_compatibility

infrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e

Tier 1 · 70%
repo_structure

infrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793

Tier 1 · 70%
provider_migration

infrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b

Tier 1 · 70%
streamable_http_race_condition

infrastructure-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.

Run diagnostics