Monitoring cloud GPUs with CycleCloud

Graphics Processing Units (GPUs) provide a great boost for high performance computing, but they’re expensive and take time to purchase and install. With our CycleCloud software, you can get immediate access to just the right amount of cloud GPU time from Microsoft Azure, Google Cloud, and Amazon Web Services.

GPU-enabled instances in CycleCloud enjoy the same features that traditional compute instances do: cost control, monitoring, and dynamic scaling. In our upcoming release, we’ve improved the monitoring experience, making it easier than ever to manage your cloud GPU instances. CycleCloud configures the monitoring automatically for GPU-enabled instances with drivers installed. You don’t need to do any of the setup yourself.

CycleCloud node detail with cloud GPUs

CycleCloud node detail with GPU data

When clicking Show Detail on a cloud nodes in the CycleCloud interface, you can now see performance graphs and statistics alongside the other node information. When the node has GPUs, this includes the GPU usage and memory.
In addition, the detail window also includes a Metrics tab. This tab shows all of the raw performance metrics reported by the Ganglia system monitoring platform. If you’re interested in learning more, stop by booth #530 at the GPU Technology Conference this week for a demo, or contact us.

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