The Chamber dashboard is your command center for GPU infrastructure. It has two views: the Executive GPU Usage Dashboard for real-time operational metrics, and the GPU Spend & Efficiency Dashboard for cost analysis and optimization. Switch between them using the tabs at the top of the page.
Executive GPU Usage Dashboard
Get a live pulse on your GPU fleet.
Key Metrics
| Metric | Description |
|---|
| Total GPUs | Total GPU count across all clusters |
| Running GPUs | GPUs currently executing workloads |
| Unused GPUs | GPUs not currently in use |
| Active Workloads | Running and pending workloads |
Features
- Cluster filtering — View metrics for specific clusters or all clusters at once
- Unused GPUs by Chip Type — Breakdown of idle GPUs by GPU model
- Active Workloads chart — Running vs. queued workloads over the last 48 hours
- Utilization trends — Track GPU usage patterns over time
GPU Spend & Efficiency Dashboard
See the financial picture behind your GPU usage — where the money goes, what’s being wasted, and where to optimize.
Headline Metrics
Five KPIs give you the high-level story:
| Metric | Description |
|---|
| Total GPU Spend | Organization-wide GPU cost from workload runtime |
| Effective Utilization | Percentage of provisioned capacity actively used by workloads |
| Recoverable Waste | Cost from failed, preempted, or short-runtime workloads |
| Idle Cost | Provisioned GPU capacity that went unused |
| Forecast Month-End | Projected total spend by end of month with trend indicator |
Spend Breakdown
Three side-by-side cards show your top cost drivers:
- By GPU Type — Which hardware is costing the most
- By Cluster — Which capacity pools have the highest spend
- By Team — Team rankings with utilization efficiency bars
Each card shows cost, percentage of total, utilization rate, and waste percentage for the top 3 contributors.
Spend by Utilization Band
A horizontal bar chart groups your spend into utilization ranges so you can immediately see where efficiency breaks down:
| Band | Utilization | What It Means |
|---|
| Severe underutilization | 0-20% | GPUs mostly idle during workload runtime |
| Poor utilization | 20-40% | Significant optimization opportunity |
| Acceptable | 40-60% | Room for improvement |
| Good | 60-80% | Healthy usage |
| Excellent | 80-100% | Near-optimal GPU efficiency |
If more than 40% of your spend falls below 40% utilization, Chamber flags this as a recoverable waste opportunity with specific recommendations.
AI Insights
Chamber generates AI-powered analysis of your spend patterns, surfacing:
- Critical waste alerts — Highlights the percentage of spend with low utilization and what to do about it
- Workload distribution analysis — Shows how workloads cluster across utilization bands
- Recommended actions — Specific next steps like GPU type prioritization, team-specific rightsizing, and auto-scaling policy suggestions
Spend Trends
Three time-series charts track how costs evolve:
- Daily Spend — Total cost per day
- Spend by GPU Type — Stacked area chart breaking out hardware cost distribution
- Idle vs. Used Cost — Stacked area showing provisioned capacity vs. actual workload usage
Forecasts
See where spend is heading, broken down by:
- Cluster — Projected cost per capacity pool
- GPU Type — Projected cost per hardware type
- Team — Projected cost per team
Team Leaderboard
A ranked table showing every team’s cost efficiency:
| Column | Description |
|---|
| Spend | Total GPU cost for the team |
| % of Total | Team’s share of organization-wide spend |
| Utilization | GPU efficiency percentage (color-coded) |
| Est. Waste | Estimated spend lost to utilization below the 70% efficiency target |
| Cost/Workload | Average GPU cost per completed workload |
Need to dig deeper with custom filters, CSV exports, or longer forecasts? Head to the Cost Explorer. 
