ROI calculator
Model the GPU economics behind coding agents.
Estimate capacity, concurrency, and monthly savings when you move high-volume coding-agent inference from API spend to managed GPUs running the Subconscious runtime.
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Calculator workspace
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Foreground tokens / day
3.3B
Engineer-facing HITL demand
Background tokens / day
833.3M
Low-priority fill work
Agent trace characteristics
| Field | Value |
|---|---|
| Turns per trace | |
| Tokens added / turn | |
| Tool overhead / turn | sec |
Unique tokens / trace
695.3K
Total tokens / trace
45.9M
Average time / trace
9.6 min
GPU time: 510.2 sec
Traces / day
4.8K
Avg active traces: 32.1
Peak active traces
76.9
Peak traces/hour: 479.4
Burst metrics
| Field | Value |
|---|---|
| Peak traces / hr multiplier | x |
| Burst concurrent sessions / engineer | x |
Average burst candidate
115.4
1.5x × 76.9 peak active traces
Engineer floor
100
1.0x × 100 engineers
Peak burst active traces
115.4
max(115.4, 100)
Replica planning
Recommended replicas
4
16 GPUs
Override replicas
Uses the recommendation until you enter an override.
Concurrency capacity
128
Total TPS capacity
360K tokens/s
Background fill capacity
10B tokens/day
Background-inclusive replicas
4
Foreground avg util
60.1%
Foreground burst util
90.2%
Foreground throughput util
25.7%
Total utilization
31.3%
Agent trace load & capacity
Shows normal foreground load, burst demand, background load, and total concurrency capacity.
Agent throughput (TPS) load & capacity
Shows live foreground throughput, scheduled background throughput, and total capacity.
Next step
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