Best Model Serving & Inference Platforms Tools

Fast, scalable LLM inference and serving for any workload

SGLang provides low‑latency, high‑throughput inference for large language and vision‑language models, scaling from a single GPU to distributed clusters with extensive hardware and model compatibility.

Expect a strong Python presence among maintained projects.

Amazon SageMaker is a fully managed machine learning service that enables developers and data scientists to build, train, and deploy ML models at scale. It provides a suite of tools including hosted Jupyter notebooks, automated model tuning, one-click training on managed infrastructure, and endpoints for real-time deployment, streamlining the entire ML workflow from data preparation to production model hosting.

Frequently replaced when teams want private deployments and lower TCO.