
PostgresML | You know Postgres. Now you know machine learning – PostgresML
🚀 Unlock the power of #AI within your database with PostgresML! 🤖💡 Build #machinelearning models faster and simpler than ever before using GPU-powered Postgres. Train, deploy, and predict with ease. Join the #PostgresML community and revolutionize your AI app development today! 🌟 #MLOps #AItour #techinnovation
- PostgresML is an MLOps platform within a PostgreSQL extension that enables building simpler, faster, and more scalable machine learning models directly within the database.
- The OpenAI Switch Kit allows moving from closed to open-source AI quickly by exploring SDK and testing models in a hosted database.
- PostgresML integrates AI capabilities into PostgreSQL for efficient AI app development.
- Use PostgresML to create various AI applications like smart toys, chatbots, site search, fraud detection, and forecasting leveraging machine learning models directly within the database.
- PostgresML simplifies the ML/AI lifecycle by enabling users to run machine learning models directly on a Postgres database, abstracting data management complexities.
- Train, deploy, and predict with PostgresML using a seamless in-database MLOps platform for efficient AI model handling.
- PostgresML supports 50+ algorithms, offers high efficiency with minimized latency and computational costs, and is 40x faster than Python microservices.
- Toolkits and models supported include Hugging Face, SciKit-Learn, XGBoost, PyTorch, Mistral, and more.
- PostgresML is compatible with various languages, IDEs, and tools, offering a wide range of options for developers.
- Start your project for free with PostgresML, utilizing their API and SDK for easy development.
- Access resources like documentation, blogs, and pricing details to leverage the capabilities of PostgresML.
- Join the PostgresML community on Discord to connect with the team and other developers.