# Two Open Meta Vision Models Cut Beamline Data Analysis From a Month to Fifteen Minutes at Berkeley Lab

Segment Anything 3 and DINOv3 run on 300 NVIDIA A100 chips inside a Department of Energy computing center, segmenting X-ray and neutron imaging data without hand-labeled training sets.

- Published: 2026-08-09T07:02:50.434Z
- Canonical: https://polylog.news/ai/2026-08-09/two-open-meta-vision-models-cut-beamline-data-analysis-from
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Berkeley Lab News Center](https://newscenter.lbl.gov/2026/07/22/berkeley-lab-to-lead-13-new-genesis-mission-ai-projects/), [TechTimes](https://www.techtimes.com/articles/321456/20260724/meta-open-source-ai-cuts-doe-beamline-analysis-month-minutes.htm)

The Department of Energy's Genesis Mission has put two of Meta's open-weight vision models into production at national laboratory beamlines. According to Meta's account and independent reporting, Segment Anything Model 3 (SAM 3) and DINOv3…

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