# Berkeley Lab Runs Meta's Segmentation Models Across 300 GPUs to Cut Imaging Analysis to Minutes

The same SAM and DINO pipeline underpins a University of Pittsburgh assistive robotics system that does real-time 360-degree object detection.

- Published: 2026-09-01T06:29:06.347Z
- Canonical: https://polylog.news/ai/2026-09-01/berkeley-lab-runs-meta-s-segmentation-models-across-300-gpus
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Meta AI](https://ai.meta.com/blog/assistive-robotics-university-of-pittsburgh-sam-dino/)

Lawrence Berkeley National Laboratory is running Meta's SAM 3 and DINOv3 models across 300 Nvidia A100 GPUs to analyze X-ray and neutron imaging data in about 15 minutes, work Meta describes as part of SYNAPS-I, a multi-laboratory project l…

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