tensorrt

TensorRT inference API server unreachable in staging after firewall update

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Problem After a scheduled firewall rule update, the TensorRT inference API server in the staging environment stopped accepting TCP connections on port 8000. All client services that invoke /v1/predict receive a connection timed out error, while the same request works fine in the production environment. Typical client error: requests.exceptions.ConnectTimeout: HTTPSConnectionPool(host=’staging-infer.example.com’, port=8000): Max retries exceeded with … Read more

TensorRT model download fails after OAuth2 token acquisition timeout

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Problem In an event‑driven inference pipeline, each job pulls a TensorRT engine from a secured model registry. The registry requires an OAuth2 access token. After a recent update to the token‑service, the OAuth2 flow intermittently times out, causing the model download request to abort. The symptom appears as failed inference jobs that never receive a … Read more

TensorRT inference runtime error: tokenizer encoding fails on non-ASCII input

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Problem During live inference serving with TensorRT engines, requests that contain non‑ASCII characters (e.g., “café”, “naïve”, or emojis) trigger a runtime exception inside the tokenizer layer. The failure manifests as a UnicodeEncodeError or as silently corrupted token IDs, causing the entire inference request to be aborted. Typical symptoms observed in production logs: 2026-09-25 12:34:56,783 ERROR … Read more

TensorRT inference service fails to bind port after adding new container

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Problem – TensorRT inference service cannot bind required ports after adding a new container On an edge computing node (Jetson or ARM‑based gateway) a Triton Inference Server (TensorRT) container that previously started cleanly now fails with: bind() failed: Address already in use (EADDRINUSE) Triton Inference Server failed to start: Unable to listen on HTTP port … Read more

TensorRT engine collection creation failure during CI benchmark on A100

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Problem Description During an automated CI run that benchmarks TensorRT models on an NVIDIA A100, the trtexec command fails when attempting to create an engine collection. The job aborts with one of the following messages (observed in multiple CI runs): [Error] Engine collection creation failed (code: 1) Engine collection creation failed: Unsupported GPU architecture Engine … Read more

TensorRT RAG batch inference fails with embedding dimension mismatch after model change

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Problem Description A production inference server that runs a Retrieval‑Augmented Generation (RAG) pipeline with TensorRT started throwing runtime errors after the passage encoder checkpoint was upgraded. The server processes thousands of queries per second in batches of up to 128 on a single GPU. Within seconds of deployment the following errors appeared in the logs: … Read more

TensorRT model serving fails after certificate expiration

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Problem Description During a routine A/B test that routes production traffic across two GPU‑accelerated inference endpoints (Triton Server with TensorRT‑optimized models), the following symptoms appeared: gRPC clients started failing with UNAVAILABLE: SSL handshake failed. HTTP API gateway returned 502 Bad Gateway – TLS handshake timeout. Model loading logs showed Failed to load TLS certificate: certificate has … Read more

TensorRT batch inference timeout on GPU during high concurrency

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Problem – TensorRT Batch Inference Times Out Under High Concurrency In a production GPU inference service the following symptoms appear when the request rate spikes: Requests that submit a batched input to IExecutionContext::enqueueV2 return false after ~10 s. Server logs contain messages such as: [ERROR] Failed to enqueue inference: Timeout while waiting for GPU [TensorRT] Execution … Read more

RAG answer extraction inconsistent between blue and green deployments

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Problem: Inconsistent RAG Answer Extraction Between Blue and Green Deployments In a production RAG pipeline accelerated with NVIDIA TensorRT, the same user query yields different answer strings when routed to the blue deployment versus the green deployment. The discrepancy appears intermittently during traffic shifts and can cause downstream ranking failures, SLA breaches, and user‑visible errors. … Read more

TensorRT invalid sampling parameters in staging environment

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Problem Description During the staging deployment of a GPU‑accelerated inference service, the TensorRT engine build fails with the following error messages: [TensorRT] Error: Invalid sampling parameters (code: 3) Failed to create optimization profile: Invalid sampling parameters for input ‘input_0’ tensorrt.tensorrt.BuilderError: Invalid sampling parameters ASSERT FAILED: validateSamplingParameters() – sampling parameters out of allowed range The failure … Read more