Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
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.
Helps teams build, deploy, observe or operate 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.
Helicone AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Guild AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Groq supports deploying, serving, monitoring, or operating AI and machine-learning systems.
GraphPipe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Create customizable UI components around your models.
Real-time GPU cloud price comparison across 30+ providers.
Go binding for MXNet c predict api to do inference with a pre-trained model.
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
An enterprise-grade, high performance feature store.
FeatherCNN is a high performance inference engine for convolutional neural networks.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A library for efficient similarity search and clustering of dense vectors.
Interactive reports to analyze ML models during validation or production monitoring.