Main Purpose
Pulumi aims to streamline the provisioning, scaling, and management of artificial intelligence (AI) and machine learning (ML) infrastructure across any cloud.
Key Features
- Infrastructure as Code (IaC): Pulumi allows developers to develop infrastructure using familiar programming languages, such as Python, to automate data pipelines, model training clusters, and backend services.
- Provisioning and Scaling: Pulumi simplifies the process of provisioning and scaling AI and ML infrastructure, making it easier to manage and optimize resources.
- Collaboration: Pulumi dissolves the barriers between infrastructure and data science teams, enabling collaboration and accelerating time to market.
Use Case
- AI and ML Infrastructure Management: Pulumi is designed to help organizations efficiently manage and scale their AI and ML infrastructure across different cloud providers.
- Data Science and AI Development: Pulumi enables data scientists and AI developers to automate the deployment and management of their infrastructure, allowing them to focus on their core tasks.
