Best Open-source Model Serving & Inference Platforms tools

Ray

Scale Python and AI workloads from laptop to cluster effortlessly

SGLang

High‑performance serving framework for LLMs and vision‑language models.

vLLM

Fast, scalable LLM inference and serving for any workload

TensorRT LLM

Accelerated LLM inference with NVIDIA TensorRT optimizations

Triton Inference Server

Unified AI model serving across clouds, edge, and GPUs

KServe

Unified AI inference platform for generative and predictive workloads on Kubernetes

GPUStack

Unified GPU cluster manager for scalable AI inference

LightLLM

Fast, lightweight Python framework for scalable LLM inference

SkyPilot

Run, scale, and manage AI workloads on any cloud

BentoML

Unified Python framework for building high‑performance AI inference APIs

OpenLLM

Run any LLM locally behind an OpenAI-compatible API

Seldon Core 2

Deploy modular, data-centric AI applications at scale on Kubernetes

NanoFlow

High‑throughput LLM serving with intra‑device parallelism and asynchronous CPU scheduling

FEDML

Unified ML library for scalable training, serving, and federated learning.

LoRAX

Serve thousands of fine-tuned LLM adapters on a single GPU