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Documentation Index

Fetch the complete documentation index at: https://docs.cloud.vessl.ai/llms.txt

Use this file to discover all available pages before exploring further.

The Metrics tab provides timeseries charts for GPU, VRAM, temperature, CPU, memory, and network usage so you can track performance, detect bottlenecks, and identify resource waste.
You can also open the Metrics tab while a workspace is paused — the most recent run’s charts stay visible without resuming.
Workspace metrics showing GPU, VRAM, temperature, CPU, memory, and network charts

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Time range

Use the time range selector at the top of the charts to choose a window:
  • 1h (default), 6h, 12h, 1d, 7d
All charts update to reflect the selected time range.

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Display settings

Click the display settings control to customize the chart layout:
  • Grid mode (default): Charts are arranged two per row for a compact overview
  • Expand mode: Charts are shown one per row for detailed analysis
You can also toggle individual charts on or off. Your display preferences are saved to your browser.

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GPU utilization

Shows GPU compute usage over time as a percentage. Use this chart to check whether your GPU is actively processing workloads.
DetailValue
Y-axis0–100%
InterpretationBelow 30% can indicate over-provisioned resources

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VRAM usage

Shows GPU video memory consumption over time. High VRAM usage can indicate risk of out-of-memory (OOM) errors.
VRAM usage chart showing GPU video memory consumption (GB) over time
DetailValue
Y-axisGB
InterpretationHigh usage can slow model loading or increase out-of-memory (OOM) risk
If VRAM usage consistently exceeds 95%, your workload is at risk of OOM errors. Consider scaling up GPU memory via Pause & Edit.

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Temperature

Shows GPU temperature over time. Sustained high temperatures may trigger thermal throttling, reducing performance.
Temperature chart tracking GPU temperature in degrees Celsius over time
DetailValue
Y-axis°C
InterpretationConsistently above 85°C can indicate thermal throttling

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CPU and memory

  • CPU Utilization: Percentage of allocated CPU cores in use.
  • Memory Usage: System RAM consumed by the workspace.

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Network I/O

Shows data transferred in (Rx) and out (Tx) of the workspace over time.

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Storage

Storage metrics show current usage for volumes attached to the workspace:
  • Temporary storage: Ephemeral storage included in the workspace. Data is cleared when the workspace stops or terminates
  • Cluster storage: Persistent volumes mounted from Cluster storage (if attached)
  • Object storage: S3-backed volumes mounted from Object storage (if attached)

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Under-utilization and high-utilization banners

When you navigate to this page from the Home dashboard by clicking an under-utilized or high-utilization workload, a contextual banner appears at the top.

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Under-utilization banner

Under-utilization banner recommending Pause & Edit to downscale when GPU utilization stays below 30%
  • Condition: GPU utilization below 30% (one-hour average)
  • Banner context: Recommends downscaling via Pause & Edit to reduce cost
  • Action: Links to the Pause & Edit documentation
  • Dismiss: The banner can be dismissed; it reappears after 24 hours if the condition persists

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High-utilization banner

  • Condition: GPU utilization above 90% (one-hour average)
  • Banner context: Recommends scaling up via Pause & Edit when more compute or memory is needed
  • Action: Links to the Pause & Edit documentation
Threshold summary: Under-utilization triggers below 30% GPU utilization (one-hour average). High-utilization triggers above 90%.