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 Blog… 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. …
… Time series-based Grafana dashboards Figure 3 shows an example of how time series dashboards look using the Prometheus labels categorized into NVLink collective dashboards and mixed i.e., Network + NVLink collectives: Use cases for NCCL inspector To demonstrate the triage workflow, these two use ca… …
… Is OSMO an MLOps platform? No. OSMO doesn’t include experiment dashboards, artifact registries, or pipelines-as-code interfaces. …
… From dashboards to real-time decisions In addition to providing new services for dynamic power management, Mission Control version 3.0 enhances existing anomaly detection capabilities by integrating with NVIDIA AIOps Collector and Platform Stacks NACPS for AI-powered predictive anomaly detection. …
… Notebook: Build an Interactive Data Analytics Dashboard Video: Accelerated Exploratory Data Analysis With pandas on NVIDIA GPUs 16:07 User Guide: cuDF User Guide: Apache Spark Accelerated With cuDF Quantum Computing Accelerated Quantum Computing With NVIDIA CUDA-Q NVIDIA CUDA-Q™ is the quantum proc… …
… NVIDIA Image Scaling NIS A platform agnostic software driver-based spatial upscaler for all games. …
… Record this URL, as it is required to access the web dashboard in the future and won’t be shown again. …
… On an 8 GB platform, that overhead ofte determines whether a model fits. Get started Learn more about the next-generation Jetson Orin Edge AI platform . …
… Familiar tooling: Platform teams use kubectl for day-to-day operations. …
… Visualize the results on a dashboard and analyze risks. …