Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus | NVIDIA Technical Blog
… The Prometheus Node Exporter then sends the metrics to the Prometheus time-series database. …
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What is the GPU Usage Monitor?
The GPU Usage Monitor is an open-source project that deploys a fully integrated GPU observability stack for Kubernetes. Rather than requiring SRE and platform teams to assemble and configure individual components, the GPU Usage Monitor uses DCGM Exporter, kube-state-metrics, Prometheus, and Grafana into a single deployment, complete with pre-built dashboards designed specifically for GPU-accelerated workloads. The design principle is operational simplicity. A single helm install command results in actionable GPU visibility within minutes, with no custom dashboard authoring or scrape configurat
Get Real-Time Visibility into GPU Usage Across Kubernetes Clusters | NVIDIA Technical BlogWhat is the benefit of running Slurm on Kubernetes?
The operational payoff of running Slurm on Kubernetes comes from the ecosystem. Rather than building and maintaining separate toolchains for GPU management, monitoring, networking, and node lifecycle, you can use the Kubernetes tooling that already exists for these problems. Platform teams manage clusters with declarative YAML, Helm deployments, rolling updates, and Prometheus or Grafana for observability.
Running Large-Scale GPU Workloads on Kubernetes with Slurm | NVIDIA Technical BlogGet Real-Time Visibility into GPU Usage Across Kubernetes Clusters | NVIDIA Technical Blog
… External Prometheus integration: If an organization operates a managed or self-hosted Prometheus instance, the chart can be configured to ship GPU metrics to the existing stack instead of deploying a new Prometheus alongside it. …
Running Large-Scale GPU Workloads on Kubernetes with Slurm | NVIDIA Technical Blog
… Platform teams manage clusters with declarative YAML, Helm deployments, rolling updates, and Prometheus or Grafana for observability. …
Deploying Disaggregated LLM Inference Workloads on Kubernetes | NVIDIA Technical Blog
… Rather than scaling deployments directly, WVA emits target replica counts as Prometheus metrics that standard HPA/Kubernetes-based event-driven autoscaling KEDA act on—keeping the scaling actuation within Kubernetes-native primitives. …
Ensuring Balanced GPU Allocation in Kubernetes Clusters with Time-Based Fairshare | NVIDIA Technical Blog
… Complete the configuration steps , enable Prometheus, set your parameters, and start scheduling. …
NVIDIA Technical Blog
… 8 MIN READ May 07, 2026 Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus Distributed deep learning depends on fast, reliable GPU-to-GPU communication using the NVIDIA Collective Communication Library NCCL . …
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AR / VR – NVIDIA Technical Blog
… 8 MIN READ Data Science See all See all May 07, 2026 Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus Distributed deep learning depends on fast, reliable GPU-to-GPU communication using the NVIDIA Collective Communication Library NCCL . …
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