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In 2026, Cerebrium alternatives are gaining traction among ML teams seeking flexible options for deploying and scaling GPU inference with per-second billing. Cerebrium provides a serverless AI infrastructure platform that enables teams to deploy and autoscale GPU-backed model APIs for real-time and batch workloads, featuring low cold starts. Users often explore alternatives due to evolving needs around pricing structures, collaboration capabilities across distributed teams, platform limitations on specific GPU types, and concerns over vendor lock-in as projects scale.