# Meta — Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design

- Company: Meta (meta.com)
- Announced: 2026-10-28T16:00:01+00:00
- Category: not stated
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://engineering.fb.com/2026/10/28/ml-applications/meta-andromeda-next-gen-ads-retrieval-gpu-co-design/
- Record: https://forck.live/items/28802-meta-andromeda-powering-the-next-generation-of-ads-retrieval-through-model
- Subject: Llama / infrastructure

The next generation of Meta Andromeda, Meta’s personalized ads retrieval engine, and how co-designing the model, system, and GPU hardware unlocks a new efficiency frontier for ads retrieval. In production, the system scores every eligible ad with near ranking-level model performance at retrieval scale and surfaces the top candidates at over one billion ads per second, a new throughput benchmark for ads retrieval-stage models (i.e., a 100x lift compared to the 2024 Meta Andromeda system). For advertisers, this means better performance automatically from the retrieval system matching ads across a larger candidate pool, within the same latency budget. Since 2025, Meta Andromeda has delivered a 2.4% increase in conversions on Facebook. Meta Andromeda is Meta’s machine learning system for personalized ads retrieval, the first stage of the ads recommendation pipeline. Retrieval narrows a vast pool of eligible ads down to a small set of strong candidates in milliseconds; a later, more computationally expensive ranking stage then scores those survivors in fine detail. Historically, the deep modeling quality of the ranking stage has been too costly to apply at retrieval’s scale. …

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Record: https://forck.live/items/28802-meta-andromeda-powering-the-next-generation-of-ads-retrieval-through-model
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