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Tech Insight > Trending Tech > Artificial Intelligence > Unleashing the Power of Ops Agent: In-Depth NVIDIA GPU Monitoring on Compute Engine

Unleashing the Power of Ops Agent: In-Depth NVIDIA GPU Monitoring on Compute Engine

John Connor
John Connor Artificial Intelligence Cloud & Edge Cloud Computing Discover Hardware Infrastructure Technology Trending Tech
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NVIDIA GPU: Boost AI & ML with Google Cloud Ops Agent
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NVIDIA GPU: Boost AI & ML Performance with Google Cloud’s Ops Agent

Applications built on Artificial Intelligence and Machine Learning, ranging from gaming to product recommendations and scientific computing, substantially rely on the robust compute performance offered by NVIDIA GPUs on Google Cloud. The good news – Ops Agent now has capability to collect metrics from an NVIDIA GPU on Compute Engine Virtual Machines on Google Cloud.

Contents
NVIDIA GPU: Boost AI & ML Performance with Google Cloud’s Ops AgentStepping Up Performance with Cloud Ops AgentFunctionality Highlights of Ops AgentCollecting Crucial GPU MetricsAdvanced GPU Metrics with NVIDIA’s DCGM ToolkitVisualizing PerformanceUnified Telemetry Agent – Ops AgentGet Started with Ops Agent TodayConclusion

Stepping Up Performance with Cloud Ops Agent

Cloud Ops Agent, endorsed by Google as the go-to telemetry solution for Compute Engine, amplifies the visibility of your NVIDIA GPUs and accelerated workloads. This is achieved through key metrics from the NVIDIA Management Library and the NVIDIA Data Center GPU Manager.

Functionality Highlights of Ops Agent

The offerings of Ops Agent are diverse. Here are a few noteworthy ones:

  • Ensuring the health of GPU fleet via GPU metrics and dashboards
  • Optimizing costs through identification and consolidation of underused GPUs
  • Capacity planning for GPUs based on observed trends
  • Monitoring GPU processes (ML models) through utilization and memory
  • Identifying bottlenecks and performance issues using DCGM profiling metrics
  • Setting up alerts based on GPU metrics

Collecting Crucial GPU Metrics

Users of NVIDIA GPUs are typically familiar with the command nvidia-smi, offering a synopsis of all GPU devices and their running processes. Leveraging the same foundation API in NVML, Ops Agent can now effortlessly collect those critical metrics without any additional configuration. This covers metrics for GPU utilization, GPU memory usage, and process lifetime GPU utilization.

Advanced GPU Metrics with NVIDIA’s DCGM Toolkit

The NVIDIA’s DCGM toolkit equips Ops Agent with the ability to collect advanced GPU metrics at scale. DCGM provides a detailed metrics-level profile of different hardware, including streaming processors and interconnections such as NVLink among others.

Visualizing Performance

Teaming up with offerings in Google Cloud’s operations suite, the collected GPU metrics can be easily examined and visualized. Custom charts creation and inclusion in dashboards has been made possible, thanks to either Metrics Explorer query builder or PromQL. The NVIDIA GPU Monitoring dashboard offers unparalleled insight across your GPU fleet.

Unified Telemetry Agent – Ops Agent

Ops Agent is a feature-loaded telemetry agent facilitating VM monitoring, logging, and tracing. Ops Agent can automatically collect host metrics, system logs, Prometheus metrics, and OTLP metrics and traces.

Get Started with Ops Agent Today

Interested in trying Ops Agent? When creating a Virtual Machine through the Google Cloud console, you can opt for a one-click option to add an Ops Agent. This lets you suitably test Ops Agent with its default configuration

To kickstart with Ops Agent, check out the detailed instructions on how to install and configure Ops Agent to better monitor your GPU instances in the official documentation.

Conclusion

The Ops Agent certainly appears to be a compelling tool that can greatly optimize the utilization of NVIDIA GPUs on Google Cloud, thereby enhancing the efficiency of AI and ML applications. Do you think Ops Agent can work for your organization? Comment below with your thoughts!

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