Run every ML workflow faster and cheaper—no config wrangling required.
Resource Tracker watches your Metaflow runs, learns real CPU / RAM / GPU needs, and recommends the right instance for the next run.
Run every ML workflow faster and cheaper—no config wrangling required.
Resource Tracker watches your Metaflow runs, learns real CPU / RAM / GPU needs, and recommends the right instance for the next run.
@track_resources
decorator → report and sizing advice.
from resource_tracker import ResourceTracker
# start trackers in the background (non-blocking)
tracker = ResourceTracker()
# your compute-heavy task
train_model_or_render_video()
# view a resource usage report at any time
tracker.report()
# or get resource allocation advice for future runs
tracker.suggest()