~/lightning

Lightning Talk: Running Energy-Aware AI Inference on Edge Kubernetes With Kepler

links:none on file
slides:none on file

Deploys a lightweight K3s + Kepler + Prometheus stack on a laptop-emulated edge cluster and runs an ONNX Runtime image classifier while exporting power metrics. Measurements show a baseline of ~2.2–2.3 joules and inference spikes that exceed baseline by about 5x, demonstrating real-time visibility without GPUs or extra hardware. The demo is repeatable, uses only two core open-source tools, and the setup successfully correlates inference activity to measurable energy impact.

AI-written summary · about

~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.