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AWS Bedrock

Public

Amazon's managed service for accessing foundation models via API

AI InfrastructureFounded 2023

Updated June 15, 2026

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Company profile

What is AWS Bedrock?

Amazon Bedrock is a fully managed service that provides access to foundation models from AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. It includes capabilities for fine-tuning, RAG with Knowledge Bases, and Agents for task automation.

Company research

As of June 15, 2026
  1. Hacker News mentions decreased 37.5% over the last 30 days. This metric measures public discussion volume.

Previous updates

7 research updates

Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 39.5% over the last 30 days

1 metric
Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 35.8% over the last 30 days

1 metric
Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 38.6% over the last 30 days

1 metric
Older updates4 research updates
Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 42% over the last 30 days

1 metric
Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 38.2% over the last 30 days

1 metric
Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 36.6% over the last 30 days

1 metric
Ai Infrastructure

AWS Bedrock: Hacker News mentions decreased 36.8% over the last 30 days

1 metric

Latest company data

Primary data point

Dependent projects

12.6K

Projects depending on tracked packages on PyPI

Data as of Mar 18

Other data points

Hacker News

75/30d

Mentions across the last 30 days

Updated 1d ago

Public importing repos

80.4K

Public GitHub dependency data for tracked company packages

Data as of Mar 18

Repository usage

Public repositories and source files importing packages tied to AWS Bedrock.

Repos importing
80.4K0%

About AWS Bedrock

Amazon Bedrock is a fully managed service that provides access to foundation models from AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. It includes capabilities for fine-tuning, RAG with Knowledge Bases, and Agents for task automation.