Inferless

Inferless is a serverless GPU inference platform designed to simplify and accelerate deployment of machine learning models into production. It abstracts away infrastructure management, allowing teams to focus on model development while Inferless handles scaling, provisioning, and optimization of GPU resources. The primary purpose of Inferless is to provide fast, reliable, and cost-efficient inference for custom models without requiring users to manage their own GPU clusters or complex deployment pipelines.

Inferless supports a range of ML frameworks and model formats, enabling users to deploy large language models, computer vision models, and other deep learning workloads through a streamlined API-based workflow. It offers automatic scaling based on traffic, cold-start optimizations, and GPU sharing strategies to reduce latency and control costs. The platform also provides observability features such as logs, metrics, and performance monitoring to help teams debug and optimize inference workloads. Integration with existing CI/CD systems and development workflows is supported, making it easier to move from experimentation to production.