Announcement
Rivet - The Open-Source Serverless Platform
Easily deploy & scale AI agents, complex workloads, and backends — all on a frictionless platform that runs anywhere.
Project Introduction
Summary
Rivet is an open-source, serverless platform designed to simplify the deployment and scaling of various workloads, including AI agents, complex applications, and backend services. It offers a frictionless experience, abstracting away infrastructure complexities and allowing applications to run anywhere.
Problem Solved
Traditional deployment and scaling of applications, especially modern workloads like AI agents and complex backends, is often cumbersome and requires significant infrastructure management. Rivet provides an open-source, serverless solution to eliminate this friction, making deployment and scaling simple and accessible.
Core Features
Frictionless Deployment
Deploy AI agents and complex workloads without managing underlying infrastructure.
Automatic Scaling
Automatically scale resources based on demand, ensuring high availability and efficiency.
Versatile Workload Support
Supports various types of workloads, including backend services and compute-intensive tasks.
Run Anywhere
Designed to run across different environments, from cloud to edge.
Tech Stack
使用场景
Rivet's flexible and scalable architecture makes it suitable for a variety of use cases requiring efficient deployment and execution of code without managing servers:
Use Case 1: Deploying AI/ML Inference Endpoints
Details
Deploy machine learning models as scalable HTTP endpoints for real-time inference, handling varying request loads automatically.
User Value
Enables rapid deployment and cost-effective scaling of AI services based on actual demand.
Use Case 2: Running Backend Services and APIs
Details
Host backend APIs and microservices. Rivet handles the scaling and underlying infrastructure, allowing developers to focus on business logic.
User Value
Simplifies backend development and operations, providing automatic scalability and high availability.
Use Case 3: Executing Complex Workloads and Batch Jobs
Details
Run compute-intensive background tasks, data processing jobs, or complex simulations that require on-demand resources.
User Value
Provides a flexible and scalable environment for executing demanding computational tasks efficiently.
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