Best AI Inference Runtimes Tools

Explore 8 AI inference runtimes tools to find the perfect solution.

Inference Runtimes

8 tools

OpenVINO Toolkit

Open‑source toolkit to optimize and deploy AI inference (CV, ASR, NLP, generative) across Intel hardware.

LocalAI

Open‑source, OpenAI‑compatible local inference server for LLMs, TTS, ASR, and diffusion with CPU/GPU backends and container images.

Ollama

A self-hosted deployment tool for models like Llama 3.3 and DeepSeek-R1, enabling fast and local AI inference without relying on cloud APIs.

Text Generation Inference

A toolkit for serving and deploying large language models (LLMs) for text generation via Rust, Python, and gRPC. It is optimized for inference and supports tensor parallelism for efficient scaling.

vLLM

A high-throughput, memory-efficient library for large language model inference and serving that supports tensor and pipeline parallelism.

Xorbits Inference (Xinference)

Xorbits Inference (Xinference) is a versatile, open-source library that simplifies the deployment and serving of language models, speech recognition models, and multimodal models. It empowers developers to replace OpenAI GPT with any open-source model using minimal code changes, supporting cloud, on-premises, and self-hosted setups.

OpenVINO Toolkit

An open‐source toolkit for optimizing and deploying AI inference on common platforms such as x86 CPUs and integrated Intel GPUs. It offers advanced model optimization features, quantization tools, pre-trained models, demos, and educational resources to simplify production deployment of AI models.

Text Embeddings Inference

An open-source, high-performance toolkit developed by Hugging Face for deploying and serving text embeddings and sequence classification models. It features dynamic batching, optimized transformers code (via Flash Attention and cuBLASLt), support for multiple model types, and lightweight docker images for fast inference.