SmartFAQs.ai
Back to Learn
Intermediate

Cloud Deployment

The transition of RAG architectures and AI Agents from local environments to scalable cloud infrastructure, utilizing managed GPU clusters, serverless orchestration, and distributed vector stores to ensure high availability and elastic compute for LLM inference.

Definition

The transition of RAG architectures and AI Agents from local environments to scalable cloud infrastructure, utilizing managed GPU clusters, serverless orchestration, and distributed vector stores to ensure high availability and elastic compute for LLM inference.

Disambiguation

Distinguishes production-grade SaaS/IaaS hosting from local execution or edge-based model deployment.

Visual Metaphor

"A Modular Skyscraper: Adding or removing entire floors (compute/storage) instantly based on how many tenants (users) enter the building."

Key Tools
AWS SageMakerGoogle Vertex AIAzure OpenAI ServiceTerraformKubernetes (K8s)PineconeLangServe
Related Connections

Conceptual Overview

The transition of RAG architectures and AI Agents from local environments to scalable cloud infrastructure, utilizing managed GPU clusters, serverless orchestration, and distributed vector stores to ensure high availability and elastic compute for LLM inference.

Disambiguation

Distinguishes production-grade SaaS/IaaS hosting from local execution or edge-based model deployment.

Visual Analog

A Modular Skyscraper: Adding or removing entire floors (compute/storage) instantly based on how many tenants (users) enter the building.

Related Articles