Sample report · no signup

This is what you'd see after a 2-week pilot.

Real layout, sample data from a ~16-GPU fleet. Your numbers replace these once the read-only agent is running.

Cost report
Last 14 days · 16 GPUs
Sample data
Total spend
$8,740
Idle waste
$1,282
Top run
$1,530
Top 5 most expensive runsCost
llama3-70b-sft-run42
research · llama3-70b · 612 GPU-hr
$1,530
88% util
rag-eval-sweep
product · mixtral-8x7b · 430 GPU-hr
$1,075
71% util
img-gen-batch-nightlyLOW UTIL
growth · sdxl · 388 GPU-hr
$970
22% util
fraud-model-retrain
platform · xgboost-gpu · 295 GPU-hr
$738
64% util
idle-dev-box-a100IDLE 14h · $312 wasted
research · — · 336 GPU-hr
$312
0% util

What you're looking at

Your most expensive runs

Ranked by cost, with the team and model behind each one. You know immediately where the money went.

Idle GPUs, in dollars

That A100 dev box sitting at 0% for 14 hours? It cost $312. NemulAI flags it the moment it starts wasting money.

Spend by team & model

One environment variable rolls every job up by team, model, or customer — the attribution finance keeps asking for.

Want this for your own fleet?

Install the read-only agent and you'll have your real report within two weeks. No workload changes, no credit card.

Start a free pilotView on GitHub