In this video, you'll learn how Datadog GPU Monitoring gives ML and platform teams a single view of their GPU fleet, so they can see what's slowing down their AI workloads, fix issues faster, and use the GPUs they already have more efficiently. Try this for free for 14 days at https://www.datadoghq.com/product/gpu-monitoring/ Just by toggling a flag in the Datadog Agent, you get visibility into every GPU across your cloud providers, on-prem hardware, and neocloud instances. Datadog shows you which devices are available, which are sitting idle, and which are running workloads inefficiently. You can move between host, device, pod, process, and workload views in a few clicks to figure out why a training run is slow, catch unhealthy GPUs before they fail, and find idle capacity you can reclaim. Datadog also breaks down GPU costs by team or workload, so you can see exactly where your spend is going and where to cut waste.

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