cd /news/machine-learning/f3-lightning-how-meta-accelerates-ad… · home › topics › machine-learning › article
[ARTICLE · art-163261] src=engineering.fb.com ↗ pub= topic=machine-learning verified=true sentiment=↑ positive

F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale

Meta detailed F3 Lightning, an extension of its Facebook Feature Framework (F3) that compiles the machine learning features behind ads ranking models into a single merged graph, a design Meta says cut execution computational costs. F3 serves requests that can require more than 20,000 features per request; Meta first presented F3 at AI @ Scale 2020 and published the F3 Lightning update on its Engineering at Meta blog on November 3, 2026. The post matters to teams running large-scale feature pipelines because it describes how Meta moves ads ML features into production.

read1 min views3 publishedNov 3, 2026

Facebook Feature Framework (F3) is Meta’s framework for authoring, compiling, and serving the machine learning features underlying ads ranking models, where a single request can require more than 20,000 features. We first presented F3 at AI @ Scale 2020. F3 reduced execution computational costs by compiling all features into a single merged graph, but that [...]

The post F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale appeared first on Engineering at Meta.

── more in #machine-learning 4 stories · sorted by recency
── more on @meta 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
→ Live at https://your-agent.zahid.host ✓
Get free account → Pricing
from €0/mo · no card required
LIVE [news/f3-lightning-how-met…] indexed:0 read:1min 2026-11-03 · —