The Best GraphPipe Alternatives in 2026

FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.

Deploy generative and predictive AI models on Kubernetes with KServe’s distributed inference platform.

KServe provides distributed inference for generative and predictive AI models on Kubernetes.

PowerInfer supports serving large language models for local deployment and inference.

NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.

A Rust inference engine for GGUF models, Shimmy uses WebGPU and supports the OpenAI API.

Sonar provides large-scale inference for language models through the project hosted in this repository.

bitsandbytes enables large language models in PyTorch using k-bit quantization.

Jina Serve helps developers build multimodal AI applications with cloud-native tools.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Uniform deep learning inference framework for mobile, desktop and server.

MindSpore provides a deep learning framework for training and inference across mobile, edge, and cloud scenarios.

BitNet provides an inference framework for one-bit large language models.