Nvidia Triton インテグレーションのメトリクス

Nvidia Triton の監視に使う Datadog の公式インテグレーションです。収集するメトリクスは 42 件あります。

公式の紹介文 (英語)

NVIDIA Triton Inference Server is open source inference-serving software

種別の内訳

  • gauge (その時点の値): 22 件
  • count (集計間隔内の発生回数): 20 件

メトリクスの一覧

説明は公式の定義の英文をそのまま載せています。

メトリクス種別単位
nvidia_triton.cache.insertion.durationTotal cache insertion duration, in microsecondsgaugemicrosecond
nvidia_triton.cache.lookup.durationTotal cache lookup duration (hit and miss), in microsecondsgaugemicrosecond
nvidia_triton.cache.num.entriesNumber of responses stored in response cachegauge-
nvidia_triton.cache.num.evictionsNumber of cache evictions in response cachegauge-
nvidia_triton.cache.num.hitsNumber of cache hits in response cachegauge-
nvidia_triton.cache.num.lookupsNumber of cache lookups in response cachegauge-
nvidia_triton.cache.num.missesNumber of cache misses in response cachegauge-
nvidia_triton.cache.utilCache utilization [0.0 - 1.0]gauge-
nvidia_triton.cpu.memory.total_bytesCPU total memory (RAM), in bytesgaugebyte
nvidia_triton.cpu.memory.used_bytesCPU used memory (RAM), in bytesgaugebyte
nvidia_triton.cpu.utilizationCPU utilization rate [0.0 - 1.0]gauge-
nvidia_triton.energy.consumption.countGPU energy consumption in joules since the Triton Server startedcount-
nvidia_triton.gpu.memory.total_bytesGPU total memory, in bytesgaugebyte
nvidia_triton.gpu.memory.used_bytesGPU used memory, in bytesgaugebyte
nvidia_triton.gpu.power.limitGPU power management limit in wattsgaugewatt
nvidia_triton.gpu.power.usageGPU power usage in wattsgaugewatt
nvidia_triton.gpu.utilizationGPU utilization rate [0.0 - 1.0)gauge-
nvidia_triton.inference.compute.infer.duration_us.countCumulative compute inference duration in microseconds (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.infer.summary_us.countCumulative compute inference duration in microseconds (count) (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.infer.summary_us.quantileCumulative compute inference duration in microseconds (quantile)(does not include cached requests)gaugemicrosecond
nvidia_triton.inference.compute.infer.summary_us.sumCumulative compute inference duration in microseconds (sum) (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.input.duration_us.countCumulative compute input duration in microseconds (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.input.summary_us.countCumulative compute input duration in microseconds (sum) (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.input.summary_us.quantileCumulative compute input duration in microseconds (quantile) (does not include cached requests)gaugemicrosecond
nvidia_triton.inference.compute.input.summary_us.sumCumulative compute input duration in microseconds (count) (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.output.duration_us.countCumulative inference compute output duration in microseconds (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.output.summary_us.countCumulative inference compute output duration in microseconds (count) (does not include cached requests)countmicrosecond
nvidia_triton.inference.compute.output.summary_us.quantileCumulative inference compute output duration in microseconds (quantile) (does not include cached requests)gaugemicrosecond
nvidia_triton.inference.compute.output.summary_us.sumCumulative inference compute output duration in microseconds (sum) (does not include cached requests)countmicrosecond
nvidia_triton.inference.count.countNumber of inferences performed (does not include cached requests)count-
nvidia_triton.inference.exec.count.countNumber of model executions performed (does not include cached requests)count-
nvidia_triton.inference.pending.request.countInstantaneous number of pending requests awaiting execution per-model.gauge-
nvidia_triton.inference.queue.duration_us.countCumulative inference queuing duration in microseconds (includes cached requests)countmicrosecond
nvidia_triton.inference.queue.summary_us.countSummary of inference queuing duration in microseconds (count) (includes cached requests)countmicrosecond
nvidia_triton.inference.queue.summary_us.quantileSummary of inference queuing duration in microseconds (quantile) (includes cached requests)gaugemicrosecond
nvidia_triton.inference.queue.summary_us.sumSummary of inference queuing duration in microseconds (sum) (includes cached requests)countmicrosecond
nvidia_triton.inference.request.duration_us.countCumulative inference request duration in microseconds (includes cached requests)countmicrosecond
nvidia_triton.inference.request.summary_us.countSummary of inference request duration in microseconds (count) (includes cached requests)countmicrosecond
nvidia_triton.inference.request.summary_us.quantileSummary of inference request duration in microseconds (quantile) (includes cached requests)gaugemicrosecond
nvidia_triton.inference.request.summary_us.sumSummary of inference request duration in microseconds (sum) (includes cached requests)countmicrosecond
nvidia_triton.inference.request_failure.countNumber of failed inference requests, all batch sizescount-
nvidia_triton.inference.request_success.countNumber of successful inference requests, all batch sizescount-

公式ドキュメント

Nvidia Triton インテグレーションの公式ドキュメント

メトリクスの名前と説明は Datadog の公式インテグレーションの定義 (Copyright Datadog, Inc.・BSD-3-Clause) を英文のまま載せています。利用条件の全文は サイトについてにあります。