Best AI tools for< Containerize Agents >

Kubeflow is an open-source machine learning (ML) toolkit that makes deploying ML workflows on Kubernetes simple, portable, and scalable. It provides a unified interface for model training, serving, and hyperparameter tuning, and supports a variety of popular ML frameworks including PyTorch, TensorFlow, and XGBoost. Kubeflow is designed to be used with Kubernetes, a container orchestration system that automates the deployment, management, and scaling of containerized applications.

Salad is a distributed GPU cloud platform that offers fully managed and massively scalable services for AI applications. It provides the lowest priced AI transcription in the market, with features like image generation, voice AI, computer vision, data collection, and batch processing. Salad democratizes cloud computing by leveraging consumer GPUs to deliver cost-effective AI/ML inference at scale. The platform is trusted by hundreds of machine learning and data science teams for its affordability, scalability, and ease of deployment.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. Agent Development Kit (ADK) is a flexible and modular framework that simplifies building, deploying, and orchestrating agent workflows, optimized for cloud-native agent applications. It offers idiomatic Go design, rich tool ecosystem, code-first development, modular multi-agent systems, and easy deployment in cloud-native environments like Google Cloud Run.

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