An AWS platform to build, train, and deploy machine learning and generative AI.
Coding
An AWS platform to build, train, and deploy machine learning and generative AI. AWS service to build, train, deploy, and govern machine learning and generative AI with usage-based pricing across notebooks, training, hosting, and related AWS services.
For ML tasks, specify model type, instance needs, dataset size, and AWS region. Costs are usage-based, not flat SaaS tiers.
Task: Train tabular classifier on 50GB dataset in us-east-1. Need: instance type candidates and link to official SageMaker AI pricing dimensions only.
Pricing, features, limits and latest updates
An AWS platform to build, train, and deploy machine learning and generative AI.
Paid
Usage-based (AWS)
Custom
AWS SageMaker APIs for build, train, deploy, and govern ML workloads (aws.amazon.com/sagemaker).
Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.
Example prompt
Prompt
Task: estimate SageMaker training job dimensions for 50GB tabular dataset in us-east-1. Output: list official pricing dimensions to check on aws.amazon.com/sagemaker/pricing only.
Short explanation
Usage-based AWS billing; do not assume flat monthly tiers.
Required fields are marked. Variation, result, and explanation are optional.
AI coding agent for building software in your editor, terminal, and IDE.
CodingFree / Paid
Platform for building and running AI agents with visual Agent Builder, AutoPilot chat, scheduling, and 200+ integration blocks; self-host open source or use hosted Pro/Max plans.
CodingFree / Paid
explore