AWS AI & Machine Learning

Amazon SageMaker

Build, train and deploy machine learning models with managed infrastructure and tools.

What is Amazon SageMaker?

SageMaker is AWS's platform for machine learning: prepare data, train and tune models, and deploy them to managed endpoints, with notebooks and MLOps tooling in one place.

Key features

  • Managed notebooks and studio
  • Training on CPUs and GPUs
  • Real-time and batch inference endpoints
  • Model monitoring and pipelines
  • JumpStart pre-built models

What it is used for

  • Custom ML models
  • Forecasting
  • Model hosting

When to use it

  • Training your own ML models
  • Hosting models at scale
  • ML teams needing MLOps

When something else fits better

  • You only need a ready-made generative AI model (Bedrock is simpler)

How pricing works

Pay for the compute used for notebooks, training and hosting, plus storage. Prices change and differ by region; we confirm current costs for your setup before you commit.

Equivalent on Google Cloud

The closest Google Cloud service is Vertex AI: unified AI platform: Gemini and other foundation models, model training, tuning, deployment and agents.

How DomainHostly helps with Amazon SageMaker

  • Plan: choose the right setup, size and region for your workload and budget.
  • Set up securely: configure Amazon SageMaker with least-privilege access, encryption and backups where they apply.
  • Migrate: move from shared hosting, your own servers or the other cloud with minimal downtime.
  • Run and optimise: monitoring, updates and regular cost reviews so you only pay for what you use.

AI & Machine Learning: Generative AI, model training and hosting, and ready-made AI for vision, speech and language.

What to consider: AI & Machine Learning

  • Start with a ready-made model or API before training your own; it is faster and usually cheaper.
  • Keep personal and confidential data out of prompts unless your setup guarantees how it is stored and used.
  • Measure quality on your own examples and set usage limits so costs cannot run away.

Related services: AI & Machine Learning