AWS introduces Kimi K3 model, prompt caching, and AgentCore runtime for Amazon Bedrock
AWS announced multiple enhancements to its Amazon Bedrock service, including the availability of the Kimi K3 model, a new prompt caching feature, and the AgentCore runtime. These updates, reported by AWS itself, aim to expand model choice, reduce costs, decrease latency, and improve the performance and elasticity of agents built on the platform. All features are presented as shipped and immediately available.
3 articles from 1 outlet covered this story. The underlying claim is sourced from a shipped.
What do all outlets agree on?
1 outlet covered “AWS introduces Kimi K3 model, prompt caching, and AgentCore runtime for Amazon Bedrock”. All of them report the following:
- AWS introduced Kimi K3 model on Amazon Bedrock
- AWS introduced prompt caching for Amazon Bedrock
- AWS introduced AgentCore runtime for Amazon Bedrock Agents
- Updates aim to improve performance, reduce costs, and enhance agent capabilities
- All features are available on Amazon Bedrock
Which outlets covered this?
All 3 articles found on this story, grouped by the stance of the piece. Every link goes to the original publisher.
Introducing Kimi K3 on Amazon BedrockoriginalAWS Machine Learning Blog · company statementOptimizing cost and latency with Amazon Bedrock prompt cachingoriginalAWS Machine Learning Blog · company statementThe new AgentCore runtime: Elastic, optimized, and consistently fast startsoriginalAWS Machine Learning Blog · company statement