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10x faster, cheaper, and better vector database.

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

Interactive reports to analyze ML models during validation or production monitoring.

A library for efficient similarity search and clustering of dense vectors.

FeatherCNN is a high performance inference engine for convolutional neural networks.

An enterprise-grade, high performance feature store.

Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.

Go binding for MXNet c predict api to do inference with a pre-trained model.

Real-time GPU cloud price comparison across 30+ providers.

Create customizable UI components around your models.

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

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

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

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

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.

Iteration Layer has shut down as a standalone product. The worker infrastructure idea continues inside Task Machine.

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

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.

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.