Inferless

Inferless is a serverless GPU platform designed specifically for deploying machine learning models. It takes models from various sources—including Hugging Face, Git repositories, or Docker containers—and turns them into live, scalable API endpoints in minutes. The platform handles all the underlying infrastructure, so developers can focus on their models rather than server management. It supports custom runtimes for specific dependencies and provides writable volumes that work across multiple replicas.

What sets Inferless apart is its focus on handling unpredictable workloads. Its built-in load balancer automatically scales GPU resources up and down, ensuring models can handle anything from zero to millions of requests without manual intervention. The platform includes dynamic batching to combine multiple requests for better throughput, detailed monitoring with call and build logs, and automated CI/CD pipelines that rebuild models when the source code changes. Users only pay for the GPU time they actually use, which can lead to significant cost savings compared to maintaining dedicated GPU clusters.

This service is particularly valuable for ML engineers and development teams who need reliable, production-ready inference without the overhead of managing infrastructure. Real-world applications include companies deploying custom embedding models for document processing, handling sudden spikes in user demand for AI features, and startups that want to launch AI products quickly without large upfront infrastructure investments. The platform's SOC-2 Type II certification and security features make it suitable for enterprise use cases as well.