From bd8167ebc0b4874ffe875557dfdd61ef47435c9d Mon Sep 17 00:00:00 2001 From: YQ Lu Date: Wed, 18 Dec 2024 11:24:06 -0500 Subject: [PATCH] Add NVIDIA Triton GMP integration (#881) Adds a NVIDIA Triton sample dashboard, associated with integration metadata (currently HIDDEN; will launch after validation and docs updates). go/triton-dashboard-dev-notes (internal link) --- dashboards/nvidia-gpu/README.md | 5 + dashboards/nvidia-gpu/metadata.yaml | 9 + .../nvidia-triton-prometheus.01.png | Bin 0 -> 284997 bytes .../nvidia-triton-prometheus.02.png | Bin 0 -> 160913 bytes .../nvidia-gpu/nvidia-triton-prometheus.json | 1078 +++++++++++++++++ integrations/nvidia-triton/metadata.yaml | 4 + .../nvidia-triton/prometheus_metadata.yaml | 116 ++ 7 files changed, 1212 insertions(+) create mode 100644 dashboards/nvidia-gpu/nvidia-triton-prometheus.01.png create mode 100644 dashboards/nvidia-gpu/nvidia-triton-prometheus.02.png create mode 100644 dashboards/nvidia-gpu/nvidia-triton-prometheus.json create mode 100644 integrations/nvidia-triton/metadata.yaml create mode 100644 integrations/nvidia-triton/prometheus_metadata.yaml diff --git a/dashboards/nvidia-gpu/README.md b/dashboards/nvidia-gpu/README.md index 64e750f842..9beea38e1c 100644 --- a/dashboards/nvidia-gpu/README.md +++ b/dashboards/nvidia-gpu/README.md @@ -21,3 +21,8 @@ |:------------------| |Filename: [nvidia-dcgm-prometheus.json](nvidia-dcgm-prometheus.json)| |Displays Advanced GPU metrics from NVIDIA Datacenter GPU Manager (DCGM). This requires a specific setup (e.g. installing DCGM and DCGM exporter).| + +|NVIDIA Triton Inference Server (GKE Only)| +|:------------------| +|Filename: [nvidia-triton-prometheus.json](nvidia-triton-prometheus.json)| +|Displays Triton Inference Server metrics. This requires your GKE cluster to have NVIDIA Triton installed and exporting metrics via Managed Prometheus.| diff --git a/dashboards/nvidia-gpu/metadata.yaml b/dashboards/nvidia-gpu/metadata.yaml index 442d7f611e..f8559bdba8 100644 --- a/dashboards/nvidia-gpu/metadata.yaml +++ b/dashboards/nvidia-gpu/metadata.yaml @@ -23,3 +23,12 @@ sample_dashboards: related_integrations: - id: dcgm platform: GKE + - + category: NVIDIA GPUs + id: nvidia-triton-prometheus + display_name: NVIDIA Triton Inference Server (GKE Only) + description: |- + Displays Triton Inference Server metrics. 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resource.type=\"prometheus_target\"", + "aggregation": { + "alignmentPeriod": "60s", + "perSeriesAligner": "ALIGN_RATE", + "crossSeriesReducer": "REDUCE_SUM", + "groupByFields": [] + } + }, + "unitOverride": "", + "outputFullDuration": false + }, + "thresholds": [] + }, + "title": "Inference rate" + } + }, + { + "xPos": 32, + "yPos": 10, + "width": 16, + "height": 8, + "widget": { + "scorecard": { + "timeSeriesQuery": { + "prometheusQuery": "sum(rate(nv_inference_request_success[${__interval}])) / sum(rate(nv_inference_count[${__interval}])) * 100", + "unitOverride": "", + "outputFullDuration": true + }, + "thresholds": [] + }, + "title": "Inference success %" + } + }, + { + "xPos": 16, + "yPos": 10, + "width": 16, + "height": 8, + "widget": { + "scorecard": { + "timeSeriesQuery": { + "prometheusQuery": "quantile(0.50,rate(nv_inference_request_duration_us[${__interval}])) / 1000000", + "unitOverride": "", + "outputFullDuration": true + }, + "thresholds": [] + }, + "title": "P50 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