Scaling Resemble AI’s Real-Time Voice and Deepfake Models with Cerebrium

Resemble AI develops real-time deepfake detection for audio, images, and video used in applications such as live calls, identity verification, and fraud prevention, while also creating open-source voice-generation models that inform its understanding of evolving synthetic-media attacks. As it scaled, the company needed faster cold starts, high reliability, workload-specific GPU configurations, autoscaling, and regional deployments to meet latency and data-residency requirements without dedicating its research team to infrastructure management. It adopted Cerebrium’s serverless GPU platform, using Docker-based deployments and CI/CD integration to support diverse generation and detection models with configurable hardware, scaling, multi-region availability, and failover capabilities. Resemble AI reports that the platform has enabled it to focus more engineering effort on model development and release updated detection models weekly or multiple times per week, supporting customers in the United States, United Kingdom, and European Union while responding more rapidly to new deepfake techniques.

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