The Best nndeploy Alternatives in 2026

BLACKBOX AI serves selected open-weight models as dedicated deployments or through one inference endpoint.

Flexible, high-performance serving system for machine learning models.

KitOps packages and versions AI models, datasets, code, and configuration as OCI artifacts.

MMDeploy provides a model deployment framework from the OpenMMLab project.

ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Roboflow provides tools to build and deploy computer vision models, from annotation to model deployment.

Cog packages machine learning models into containers to support deployment across environments.

ONNX-MLIR compiles ONNX models using MLIR compiler infrastructure for model deployment workflows.

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.

DJL is a Java framework for running deep learning models across different engines.

Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.

Kili Technology provides annotation tools for building datasets to train, fine-tune, and evaluate AI models.

MimicPC provides an AI platform for generating images, video, and audio, training LoRA models, and adding custom models.

Valohai provides MLOps tools for comparing, evaluating, and shipping configurations for AI products using specialized models.

Synexa AI deploys AI models through an API, with examples for image generation, video generation and image restoration.

Machine learning operations and large language model operations are the focus of Starwhale’s platform.

Manifest connects AI agents and tools to multiple model providers through an LLM gateway.

ModelDB tracks machine learning model versions, metadata, and experiments.

FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.

Microtica deploys and monitors cloud-native applications, with agents for infrastructure and incident resolution.

Kuberns uses AI agents to deploy, scale, and manage applications on cloud infrastructure.

Langtail helps product teams build, test, version, and deploy AI prompts collaboratively.

Kitaru provides agent traces that teams can run and inspect during application workflows.