The Best Truss Alternatives in 2026

MMDeploy provides a model deployment framework from the OpenMMLab project.

Eurybia tracks model drift and validates data during machine learning model deployment.

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

Edge Impulse provides MLOps workflows for developing, deploying, and monitoring edge and physical AI models.

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

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

Unsloth Studio provides a local workspace for running and training AI models.

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.

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

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

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.

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

Model deployment for AI applications is supported by nndeploy, a framework described as easy to use and high performance.

TensorRT-LLM provides Python and C++ runtimes with optimizations for language model inference on NVIDIA GPUs.

Instill Core coordinates data, models, and pipelines for AI first applications.

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

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

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

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

OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).