Serverless Inference provides a REST API-based service that easily integrates with existing ML pipelines for model deployment and inference.
Yes. Vultr Serverless Inference can be integrated into an existing machine learning pipeline with minimal changes. The service exposes a REST API that is compatible with common client libraries and workflows used for model inference. To integrate, update your pipeline to call the Vultr Serverless Inference API endpoint instead of your current provider’s endpoint.
Authentication is handled by passing your Vultr Serverless Inference API key in the request header, which allows your pipeline components (such as data preprocessing, orchestration, or monitoring tools) to send inference requests seamlessly. Since responses follow standard JSON structures, they can be consumed by downstream tasks in the same way as other inference services.
This makes it straightforward to migrate from another provider or extend an existing workflow with Vultr-hosted inference while keeping the overall pipeline design intact.