FinOps Command Center
Track, optimise and control the cost of AI capacity in real time
Hurray — infrastructure savings are working
Automated efficiency measures reduced unit cost while preserving capacity.
Total spend (today)
$12,483
▼ 32%
Projected (month)
$342,781
▼ 28%
Cost / 1M tokens
$0.42
▼ 36%
GPU cost
$8,672
69% of total spend
Savings captured
$5,371
43% potential
Carbon footprint
12.4 tCO₂e
▼ 38%
Cost trend & forecast
Compute, storage, network and other
Revenue is growing faster than cost — the gap below is gross profit.
Cost breakdown
- Compute70%
- Storage17%
- Network8%
- Other6%
Top cost drivers
By project / team
| Project | Spend (today) | % of total | Trend |
|---|---|---|---|
| GenAI Platform | $4,872 | ▲ 12% | |
| Customer Support | $2,341 | ▲ 8% | |
| R&D Models | $1,876 | ▼ 6% | |
| Marketing AI | $1,243 | ▲ 4% | |
| Internal Tools | $982 | ▼ 11% |
Optimisation opportunities
Recommended by the AI-SRE engine
- Idle GPU reclaimSave 34%
12 GPUs under 20% for 7 days
$1,842 / day
- Underutilised modelsSave 27%
Consolidate 6 endpoints onto shared pool
$1,231 / day
- Larger context windowsSave 19%
Batch prompts to cut prefill cost
$892 / day
- Storage tieringSave 12%
Move cold checkpoints to object storage
$406 / day
Budget & quotas
Monthly budget $500,000
$339,511 used68%
Remaining $160,489
GenAI Platform72%
R&D58%
Marketing46%
Operations32%