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Amazon Bedrock AgentCore Memory announces metadata for long-term memory

Amazon Bedrock AgentCore Memory now supports metadata on long-term memory (LTM) records, enabling agents to tag, filter, and retrieve memories using structured attributes alongside semantic search. You can define up to ten indexed keys per memory resource – with support for STRING, NUMBER, and STRING_LIST types – and use different operator types to filter retrieval results.
Metadata can be attached to events at ingestion time or inferred automatically by the LLM based on extraction instructions you define on the memory resource. During ingestion, the LLM processes all events and determines how metadata is applied to the resulting memory records.
You define a metadata schema on the memory resource that includes indexed key definitions (key name, type, and optional allowed values) along with extraction instructions that guide the LLM on how to generate metadata from conversation content. With metadata filters on retrieval – agents can retrieve records by structured attributes like ticket number, priority, or date – eliminating irrelevant context and improving response accuracy.
To get started, see the Amazon Bedrock AgentCore Memory documentation. This feature is available today in all AWS Regions where Amazon Bedrock AgentCore Memory is supported.
Quelle: aws.amazon.com

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Amazon EC2 P6-B300 instances are now available in the US East (N. Virginia) Region

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the US East (N. Virginia) Region. P6-B300 instances provide 8xNVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory. P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads.  P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon), AWS GovCloud (US-East) and US East (N. Virginia). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.
Quelle: aws.amazon.com

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AWS Site-to-Site VPN now supports modifying tunnel bandwidth on existing VPN connections

AWS Site-to-Site VPN now supports modifying tunnel bandwidth between standard (up to 1.25 Gbps) and large (up to 5 Gbps) on existing connections, making it easier to update your VPN connections’ bandwidth per your organization’s need. Previously, changing tunnel bandwidth required deleting and recreating the connection, which generated new tunnel IP addresses and meant updating your on-premises VPN device configuration and firewall rules. With this launch, tunnels are upgraded while preserving your IP addresses, CIDR blocks, pre-shared keys, and all configuration settings, eliminating the need to make any changes to your on-premises device. This feature is available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California), AWS GovCloud (US-West), Europe (Frankfurt, London, Paris, Spain, Stockholm), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Mumbai, New Zealand, Osaka, Seoul, Sydney, Taipei, Thailand, Tokyo), Africa (Cape Town), Mexico (Central), and South America (São Paulo). To learn more and get started, visit the AWS Site-to-Site VPN documentation.
Quelle: aws.amazon.com