Shypd.aiThe largest open index of AI toolsSagify simplifies machine learning workflows on AWS SageMaker, allowing users to focus on model building rather than infrastructure. It includes an LLM Gateway for unified access to open-source and proprietary large language models.
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About
Sagify is a powerful tool designed to streamline machine learning workflows on AWS SageMaker, enabling users to concentrate on developing ML models instead of managing complex infrastructure. Its modular architecture features an LLM Gateway, providing a unified interface for interacting with both open-source and proprietary large language models like OpenAI, Anthropic, and various models deployed on AWS SageMaker. Sagify accelerates ML pipelines, allowing for rapid deployment from idea to production. It handles infrastructure provisioning, distributed training, hyperparameter tuning, and deployment, significantly reducing DevOps overhead. The platform supports custom training and deployment, Docker image building, and various AWS SageMaker operations including training, deployment, hyperparameter optimization, and batch inference. For LLMs, Sagify offers intuitive CLI commands for managing infrastructure, deploying models with no code, and setting up a FastAPI LLM Gateway for seamless integration.
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Not publicly disclosed. Check kenza-ai.github.io for current pricing.
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