AWS AI Launchpad
See MLOps in action. Deploy production-ready AI workloads on AWS in minutes — not weeks. Just provide your container image (ECR) and AWS credentials, and the platform provisions the entire MLOps stack: SageMaker, databases, agent orchestration, security, and monitoring.
This is a live simulation
No AWS resources are created. In production, we deliver this as a customized self-service platform for your MLOps workflow — deployed into your AWS account, owned by your team. Contact us to learn more.
Application Setup
AI Workload Type
Machine Learning
Training, inference, model serving
Single Agent
One specialized AI agent
Multi-Agent System
Coordinated agent team (like ALEX)
Data Pipeline
ETL, vectorization, data processing
Infrastructure Modules
SageMaker Serverless
$200/moML Model Training & Serving
Database & Storage
$150/moAurora, Redis, S3 Storage
AI Agent Orchestra
$300/moSingle or Multi-agent coordination
Requires: database
Researcher Agent
$100/moAutonomous data gathering & analysis
Requires: database, agents
Ingestion Pipeline
$75/moData processing & S3 Vector storage
Requires: database
Frontend & API
$50/moUser interface & APIs
Requires: database
Enterprise Grade
$250/moSecurity, Monitoring & Guardrails
AI Model Configuration
LLM Provider
Primary Model
Scale & Performance
Expected Users
10,000 usersUptime SLA
Auto-scaling Strategy
Security & Compliance
Privacy Level
Public
Internet-facing, public data only
Internal
Company internal use, basic PII
Private
Secure, regulated data handling