tensorrt

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

TensorRT inference slow after etcd cluster inconsistency

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Problem Description In a multi‑node on‑premises deployment of TensorRT (via Triton Inference Server), inference latency spiked from ~2 ms per request to 10‑20 ms and occasional errors such as Model version not found for model XYZ appeared. The issue manifested after a brief network partition that caused an etcd leader election. Typical log excerpts were: [2024-06-18 14:03:12] … Read more

TensorRT training job completion timeout with mixed precision

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Problem – TensorRT Mixed‑Precision Training Jobs Time Out In a distributed training pipeline that leverages TensorRT engine building with FP16 (or INT8‑fallback) on NVIDIA A100 GPUs, the job aborts before completing the expected number of epochs. Typical symptoms include: Training script exits with TensorRTBuilderError: Engine building timed out after 1800 seconds. CUDA watchdog messages in … Read more

TensorRT container crashes repeatedly on Ubuntu with NVIDIA GPU

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Problem Description During local development on an Ubuntu workstation equipped with an NVIDIA GPU, a TensorRT Docker container repeatedly crashes and Docker restarts it in a loop. Typical log excerpts look like one of the following: Failed to initialize TensorRT runtime: CUDA driver version is insufficient for CUDA runtime version libnvidia-ml.so.1: cannot open shared object … Read more