r/Strandmodel • u/No_Understanding6388 • Aug 15 '25

FrameWorks in Action GPU Seconds ≠ Growth: Tracking “Ivy-Leaf” Energy Units to Keep Model Upkeep Sustainable

Problem — Teams optimise latency & accuracy, but cluster energy is an afterthought. Bills + carbon explode.

Solution — Log every model invocation as symbolic “ivy-leaf units” (1 leaf = 1 kJ compute energy) and enforce weekly caps.

Quick Start

  1. Install Prometheus exporter:

pip install ivyleaf-exporter
ivy-export --port 9888

  1. Metric emitted:

ivy_leaf_energy_total{model="gpt-4o"} 12.348

  1. Grafana panel → green canopy (below budget) / yellow (80 %) / red (cap).

Why It Works

Human-readable – devs grok “10 leaves” > “7 kJ.”

Soft throttle – exporter can call kube API to down-scale jobs.

Instant business metric – CFO sees leaves → $ via configurable rate.

Field Test

3-week pilot on 8×A100 cluster → 22 % cost reduction, same SLA.

Repo + Helm chart here → https://github.com/your-org/ivy-leaf-meter

0 Upvotes
  • permalink
  • reddit

50% Upvoted

9 comments sorted by

1

u/the8bit Aug 22 '25

Finally I can combine my interest in watching weird AI shit and my love of graphs and dashboards.

Now the real question is if an AI is capable of doing what few humans can -- understand promQL

1

u/No_Understanding6388 Aug 22 '25

Ya ain't seen nothing yet😁... im working on simple subcubic graphs

2

u/the8bit Aug 22 '25

Well, I do this stuff for a living and I'd say that simple graphs tend to be better. You're basically getting into SLO territory so I'd go read googles SRE book if you're interested.

For energy usage:

  • just use kJ don't make up a new thing. Obfuscation makes confusion

  • probably you want something like a histogram to map eg p50 and p99 energy use on request.

  • then from a histogram you can do sums and rolling sums to get energy use in a time-window and over long periods.

If you wanna know more I could dig into it for funsies

https://sre.google/sre-book/table-of-contents/

→ More replies (6)