The Best dstack Alternatives in 2026

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

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

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

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

The Hydrosphere repository describes an MLOps platform for machine learning operations.

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

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

Apache SINGA supports distributed deep learning through a system and library for model training.

Xinference runs language, speech, and multimodal models through a unified inference API across cloud, on premises, or laptop setups.

Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.

DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT.

Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.

Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.

Pathway offers cloud templates for RAG, AI pipelines, and enterprise search that stay synchronized with connected data sources.

Rockpool supports training spiking neural networks with PyTorch and JAX and deploying them to neuromorphic hardware.

PaddlePaddle provides a deep learning framework for training models across devices and platforms.

PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.

Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.

BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines.

Deploy a ML inference service on a budget in less than 10 lines of code.

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

Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.

Catniff provides JavaScript developers with a Torch-like deep learning framework.

Sagify describes its project as a way to work with large language models and machine learning more easily.