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  • What is Caching and How it Works | AWS
    A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary storage location This website describes use cases, best practices, and technology solutions for caching
  • Caching Best Practices | Amazon Web Services
    A cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than the data’s primary storage location This website describes use cases, best practices, and technology solutions for caching
  • Prompt caching for faster model inference - Amazon Bedrock
    Learn about how to use the prompt caching feature in Amazon Bedrock to get faster model responses and reduce inference costs
  • Database Caching - aws. amazon. com
    It's easy to get started with caching in the cloud with a fully-managed service like Amazon ElastiCache It removes the complexity of setting up, managing and administering your cache, and frees you up to focus on what brings value to your organization
  • AWS Caching Solutions
    Memcached - a widely adopted memory object caching system ElastiCache is protocol compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service
  • Effectively use prompt caching on Amazon Bedrock
    This post provides a detailed overview of the prompt caching feature on Amazon Bedrock and offers guidance on how to effectively use this feature to achieve improved latency and cost savings
  • Supercharge your development with Claude Code and Amazon Bedrock prompt . . .
    In this post, we'll explore how to combine Amazon Bedrock prompt caching with Claude Code—a coding agent released by Anthropic that is now generally available
  • Prompt Caching - Amazon Bedrock
    With prompt caching, supported models will let you cache these repeated prompt prefixes between requests This cache lets the model skip recomputation of matching prefixes As a result, prompt caching in Amazon Bedrock can reduce costs by up to 90% and latency by up to 85% for supported models
  • Amazon Bedrock でプロンプトキャッシュを効果的に活用する方法
    Prompt Caching: This capability allows frequent reuse of cached context across multiple model invocations, which is particularly useful for applications that repeatedly use the same context (like document Q A systems)
  • Cache settings for REST APIs in API Gateway - Amazon API Gateway
    Learn how to enable Amazon API Gateway caching to enhance your API's performance





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