Meta MTIA v2
Meta's recommendation-inference chip — custom silicon for the ads engine.
You're looking at a chip record: what this processor is, its key specs, who designs, manufactures and supplies its parts, and where it gets used.
MTIA is Meta's inference accelerator for the ranking and recommendation models that drive its feed and ads. Version 2 (2024) tripled compute over v1 within a 90 W envelope using large on-chip SRAM instead of HBM — a different design point from LLM chips, tuned for Meta's own workloads. Training-class successors have been reported as in development.
Specifications & key facts
Each figure is labeled by basis: vendor spec, vendor claim, reported, estimate, or official. "Not publicly disclosed" means exactly that — we never invent values.
Overview
Manufacturing
Compute
Memory
Power
How this connects to the rest of the stack
This record's links at a glance — click a group to jump to it.
Designed by
Manufactured by
Process node
Sources
Record reviewed as of 2026-01-15 — see Methodology.