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The Triton Inference Server provides an optimized cloud and edge inferencing solution.
**Description** The ensemble model could not retrieve the correct input from the output  **Triton Information** NGC docker image nvcr.io/nvidia/tritonserver:24.07-py3 **Ensemble Config** ``` #...
I am using TRTIS:22.09 in Kubernetes. I noticed that the nv_cpu_utilization value provided by TRTIS and the actual CPU usage, represented by container_cpu_usage_seconds_total, differ. First, I need an accurate explanation...
#### What does the PR do? Add client input size check to make sure input shape byte size matches input data byte size. #### Checklist - [x] PR title reflects...
**Description** I used the latest image version 24.06 because the corresponding latest version of trt has support for BF16. But when I deploy the model with trt-backend. I used perf_analyze...
I want to deploy MaCBert but I cannot find some helpful blogs, do you have instructions about deployment of this model?
**Description** bug when deploying Macbert **Triton Information** I use the official image: nvcr.io/nvidia/tritonserver:21.09-py3 ``` NVIDIA Release 21.09 (build 27443074) Copyright (c) 2018-2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved. Various...
I run the triton server using the following commands S3_REPO="s3://.../models/repository/" docker run --rm --net=host --gpus=all nvcr.io/nvidia/tritonserver:23.11-py3 tritonserver --model-repository="$S3_REPO" After the server is up, I do inferencing using the IP address....
**Description** I deployed Triton Inference Server on Kubernetes (GKE). To balance the load, I created a Load Balancer Service. As a client, I'm using the Python HTTP client. I was...
**Description** - Our ensemble model running on the PyTorch backend in NVIDIA Triton Inference is experiencing performance issues with dynamic batching under high concurrency. - About the ensemble modelThe first...
I have a python backend model with the following config.pbtxt without Dynamic Batching. ``` name: "sample" backend: "python" max_batch_size: 0 input [ { name: "text" # Stringified JSON Array data_type:...