📄️ AWS
See our full guide on deploying to AWS with EC2 here.
📄️ GCP
See our guide on deploying to Google Cloud on Google Cloud Run here. A concise and updated guide will appear here shortly, reach out to us if you need help with this in the meantime.
📄️ Kubernetes
See our full guide on deploying to Kubernetes here.
📄️ Langchain
The Takeoff API also has an integration with LangChain, allowing you to inference LLMs or embed queries through the LangChain interface.
📄️ Sagemaker
Amazon SageMaker is a fully-managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning models at scale. SageMaker can be useful for anyone looking to build and deploy machine learning models quickly and efficiently, without having to worry about the underlying infrastructure and management of the machine learning pipeline.
📄️ Vertex
Vertex AI is Google Cloud's unified AI platform that provides purpose-built MLOps tools for data scientists and ML engineers to automate, standardize, and manage ML projects. Vertex AI can be useful for anyone looking to build and deploy machine learning models quickly and efficiently, without having to worry about the underlying infrastructure and management of the machine learning pipeline.
📄️ Dataiku
Example: using the Dataiku Takeoff plugin to describe images
📄️ Reverse Proxy Setup
Serving large scale systems in production is hard. To do so effectively, efficiently and safely, users must solve many problems: