# Serverless ### Overview Serverless is a flexible orchestration feature provided by the Yotta SaaS platform that enables users to quickly create, scale, and manage GPU-powered workloads.\ It is designed to deliver **elastic scaling**, **multi-region deployment**, and **disaster recovery**, ensuring that your applications remain highly available, fault-tolerant, and performant. ### Key Features * 🧩 Custom Image Deployment\ Launch **Pods** directly from your own container images to instantly start the computing environment you need. * ⚙️ Multi-Worker Deployment\ Create multiple **Worker Instances** with a single click to handle high-concurrency or large-scale computational workloads. * 🌍 Multi-Region Scheduling\ Pods can automatically distribute across different **Regions**, enabling cross-region deployment and improving overall system stability and fault tolerance. * 📈 Elastic Scaling\ Adjust the number of **Workers** at any time based on workload demand — scale up for high-load periods and scale down to reduce cost. ### Typical Use Cases * **AI Training & Inference**\ Deploy multiple workers across regions to accelerate distributed AI workloads and improve throughput. * **High-Availability Service Deployment**\ Distribute services across multiple regions to eliminate single points of failure. * **Data Processing & Computation**\ Dynamically expand worker nodes to support distributed processing and failover resilience. ### Core Advantages * 🌍 **Cross-Region Elastic Distribution**\ Supports multi-region resource scheduling for high availability and global workload balancing. * 🛡 **Built-In Disaster Recovery**\ Automatically fails over to available regions in case of a regional outage, ensuring continuous business operations. ### Summary Serverless service provides Yotta users with a powerful, flexible way to launch, scale, and manage distributed GPU workloads across multiple regions.\ Whether for AI model training, inference services, or large-scale data processing, Serverless ensures **performance, reliability, and efficiency** at global scale. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.yottalabs.ai/products/serverless.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.