konduit.ai: Accelerating AI Deployment Across Environments

konduit.ai is an open-source AI infrastructure platform developed under the Eclipse Foundation, designed to empower Machine Learning teams to build and deploy AI models faster and more efficiently across diverse environments—including cloud, on-premise, edge, and mobile. Built with robust tooling for running models in PyTorch, TensorFlow, Keras, and ONNX formats, konduit.ai offers seamless integration through Kompile and Konduit Serving, enabling high-performance model execution and deployment. With strong support for enterprise-grade AI workflows and a commitment to advancing open-source AI ecosystems, konduit.ai is a powerful ally for organizations aiming to scale AI applications with reliability and flexibility.

Key Features:

• Cross-environment deployment (cloud, on-premise, edge, mobile)
• Support for major AI frameworks: PyTorch, TensorFlow, Keras, ONNX
• Kompile: Tooling for model optimization and conversion
• Konduit Serving: High-performance model serving and inference engine
• Enterprise support for deep learning infrastructure (including DL4J)
• Open-source development fostering community-driven AI innovation
• Scalable and interoperable AI application workloads

Pricing: konduit.ai offers a freemium model with free access to its open-source tools and frameworks, while premium support and services are available for enterprise users.

Conclusion: konduit.ai is a versatile, open-source AI deployment platform that streamlines model execution across complex environments, making it an ideal choice for ML teams and enterprises committed to scalable, transparent, and collaborative AI development.