The Home dashboard gives you a single view of all your running workloads across every team you belong to. Click Home in the sidebar to open the dashboard.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.
Summary cards
Four cards at the top provide an at-a-glance overview of your workloads.| Card | Description |
|---|---|
| Active workloads | Total number of your workloads excluding terminated ones (running, paused, queued, and initializing) |
| GPUs in use | Number of GPUs currently allocated to your running workspaces |
| GPU utilization | One-hour GPU-weighted average across your running workspaces. If runtime is under one hour, the card stays in a temporary collecting state (for example, Collecting...) |
| Spend rate | Current hourly cost across all your running workspaces ($/hr). Excludes storage costs |
Hover over the tooltip icon on each card to see how the metric is calculated.
Workloads
The workloads table lists your active workspaces grouped by team.
Filters
- Team: Show workloads from a specific team or all teams
- Status: Filter by workload status (for example, Running, Paused)
- Clear: Reset all filters
Table columns
| Column | Description |
|---|---|
| Workload name | Workspace name. Workloads with low GPU utilization show an under-utilization warning. Click to open the workspace detail page. |
| Status | Current status (Running, Paused, Stopped, and so on) |
| Team | Team the workload belongs to |
| GPU | GPU type and count (for example, “A100-80GB x 4”) |
| GPU Utilization (1hr) | One-hour average GPU utilization, weighted by GPU count. Color-coded: green (90%+), gray (30–90%), orange (below 30%) |
| Spend rate | Hourly cost for this workload ($/hr) |
Quickstart cards
When you have no running workloads, the dashboard shows three quickstart cards to help you get started:
- Get started with workspaces — Launch a GPU environment and start developing
- Connect Cluster storage — Set up high-performance shared storage for fast, large-scale data loading
- Use Object storage — Store and retrieve data with cost-efficient S3-based storage for archiving and long-term preservation
Edge cases
| Scenario | Behavior |
|---|---|
| No running workloads | Quickstart cards are displayed instead of the workload table |
| No metric data | Workloads running for less than one hour stay in a temporary collecting state |
| No matches after filtering | The table shows an empty-state hint suggesting filter adjustment |
| CPU-only workload | GPU columns show - |