AI Company
Amazon Web Services
Also known as: AWS, Amazon AWS
Amazon Web Services is Amazon's cloud computing division, providing compute, storage, databases, networking and machine learning services on a pay as you go basis. It is one of the main cloud platforms used to host websites, data pipelines and AI applications. For AI work it offers services such as Amazon Bedrock, SageMaker, OpenSearch and various vector and database options.
What it is
AWS is a large catalogue of infrastructure and platform services that organisations rent rather than build. Core building blocks include EC2 for virtual machines, S3 for object storage, Lambda for event driven functions and RDS for managed databases. On top of those sit AI services for model hosting, training, search and document processing.
Why it matters
Most AI search and discovery projects need somewhere to store content, run retrieval and serve responses, and AWS is a common answer to all three. The platform choice affects latency, data residency, security review timelines and how quickly a marketing team can ship an AI feature. Site performance and uptime, which AWS hosting influences directly, also feed into how crawlers and AI agents experience your content.
How it works
Teams provision services through the console, CLI or infrastructure as code, then wire them together with permissions managed in IAM. A typical AI discovery stack might store source content in S3, index it in OpenSearch or a vector store, call a model through Bedrock and serve the result via Lambda and API Gateway. Logging and cost tracking run through CloudWatch and Cost Explorer.
When it applies
It applies whenever an organisation needs hosting or AI infrastructure and has chosen AWS as its cloud, often because of existing contracts, in house skills or compliance arrangements. It matters less to marketers whose sites run entirely on a managed SaaS platform.
Examples
- A content site stores its article archive in S3 and indexes it in OpenSearch to power an internal semantic search tool.
- A growth team runs a nightly Lambda job that checks whether key landing pages return clean HTML to non JavaScript crawlers.
- An enterprise routes all model calls through Bedrock in a single AWS region to satisfy a data residency requirement.
How it is measured
- Monthly cloud spend by service, tagged to the AI or content project
- Origin response time and error rate for pages served from AWS
- Uptime against service level objectives for customer facing endpoints
- Time from request to provisioned environment for new AI experiments
Insights on Amazon Web Services
Related terms in AI Company
- AnthropicAnthropic is an AI company that builds the Claude family of large language models and positions safety research at the centre of its work. Its products include the Claude apps, a developer API and Claude integrations used inside other tools. For marketers, Anthropic matters because Claude is one of the assistants where buyers now ask questions that used to start in a search engine.
- BroadcomBroadcom is a US semiconductor and infrastructure software company, listed as AVGO, that supplies networking, storage, wireless and custom silicon alongside a large enterprise software portfolio. In AI it is known for data centre networking components and for co-designing custom accelerators with large cloud operators. Its software side expanded significantly with the acquisition of VMware.
- CerebrasCerebras Systems is a US computing company that builds very large wafer-scale processors and systems for training and running AI models. It sells hardware and also offers a hosted inference service that runs open models at high token generation speeds. It matters to search and marketing teams mainly as one of the infrastructure options behind fast AI assistants and agents.
- GoogleGoogle is the search engine and technology company owned by Alphabet, and the operator of Search, YouTube, Chrome, Android, Google Ads and Google Cloud. It develops the Gemini family of AI models and surfaces generated answers in products such as AI Overviews. For most businesses it remains the largest single source of organic and paid search demand.
- Google DeepMindGoogle DeepMind is Google's artificial intelligence research and development unit, formed by combining DeepMind with the Google Brain team in 2023. DeepMind was founded in London in 2010 and acquired by Google in 2014. The unit develops Google's Gemini models alongside longer-running research projects such as AlphaFold.
- MetaMeta is the US technology company behind Facebook, Instagram, WhatsApp, Messenger and the Quest headsets, formerly known as Facebook, Inc. It runs one of the largest digital advertising businesses in the world. It also develops the Llama family of open weight large language models and the Meta AI assistant built into its apps.
Primary research · August 2026
How ChatGPT Shortlists Software Brands
An audit across 10 categories and 60 buying questions. I recorded what ChatGPT reads, throws away and links to when a buyer asks it which software to buy, and what that decides.
- 60
- Questions asked
- 10
- Software markets
- 2,680
- Results read
- 367
- Links shown
Free download
Get the full report
35 pages · PDF · 536 KB. Enter your details and it downloads straight away.