AI Infrastructure & MLOps

Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by teams.

Helps teams build, deploy, observe or operate machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Kubernetes-based system for hyperparameter tuning and neural architecture search.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open source MLOps project that eases model handoffs between data scientist and DevOps.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Standardized Serverless ML Inference Platform on Kubernetes.

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

KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Neural network inference from the command line, implemented in CHICKEN Scheme.

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

Algorithms for learning and inference with discrete probabilistic models.

A model gateway and unified interface for multiple model providers.

Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.

Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.