Accelerating on-device ML on Meta’s family of apps with ExecuTorch
Jul 28, 2025PyTorch Edge Team in collaboration with Family of Apps
Summary
This post details the adoption and impact of ExecuTorch, Meta's open-source framework for on-device ML inference, across Instagram, WhatsApp, Messenger, and Facebook. It highlights improvements in model performance, latency, and privacy for features like Instagram's Cutouts (using SqueezeSAM), WhatsApp's bandwidth estimation and video quality models, Messenger's language identification and E2EE features, and Facebook's SceneX model. Specific technical benefits mentioned include faster model loading, reduced average inference time, and decreased ANR metrics, alongside enhanced security through fuzzing tests. The post also invites community contributions to ExecuTorch.
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