AWS AI & Machine Learning

Amazon Bedrock

Build generative AI applications with leading foundation models through one managed API.

What is Amazon Bedrock?

Bedrock gives you access to foundation models from Amazon and leading AI companies through one API, so you can build chatbots, summarisers and AI agents without managing GPU infrastructure. Your data is not used to train the base models.

Key features

  • Choice of foundation models
  • Knowledge Bases for retrieval-augmented generation (RAG)
  • Agents that call your APIs
  • Guardrails for safe responses
  • Fine-tuning and model evaluation

What it is used for

  • Chatbots and assistants
  • Document summarisation
  • AI agents

When to use it

  • Adding generative AI to your applications
  • Q&A over company documents
  • Automating text-heavy tasks

When something else fits better

  • Simple rule-based logic
  • Use cases where a small classic ML model is cheaper

How pricing works

Mostly pay per input and output token; provisioned throughput is available for steady high volume. 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 Bedrock

  • Plan: choose the right setup, size and region for your workload and budget.
  • Set up securely: configure Amazon Bedrock 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