Nvidia Triton integration metrics

The official Datadog integration for monitoring Nvidia Triton. It collects 42 metrics.

Official summary

NVIDIA Triton Inference Server is open source inference-serving software

Metric types

  • gauge (value at a point in time): 22
  • count (occurrences in the interval): 20

Metrics

Descriptions are the official definitions, unedited.

MetricTypeUnit
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-

Official documentation

Official documentation for the Nvidia Triton integration

Metric names and descriptions are the official Datadog integration definitions (Copyright Datadog, Inc., BSD-3-Clause), reproduced unedited. The full license terms are on the About page.