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COMPANY · ENTITY #12083

NVIDIA NeMo Agent Toolkit (NAT)

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2

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS documents Amazon Bedrock AgentCore multi-agent workflows and integrations for cloud migrations and agent workloads

An AWS technical post explains how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate end-to-end enterprise cloud migrations and reduce infrastructure-as-code development time from weeks to minutes. The post also covers related how-tos and integrations — Live Data in Amazon QuickSight, using Amazon S3 Vectors as persistent memory with NVIDIA NeMo Agent Toolkit on EKS, ambient/ambient-agent patterns, Claude Platform configuration on AWS, personalization with SageMaker AI, fine-tuning Nova 2 Lite for uniopen, a Bedrock Knowledge Bases conversational claims assistant, and AgentCore Runtime Instances for colocated GPU agent workflows.

7.0

CODING · 1 SOURCE · AWS Machine Learning

How to use Amazon S3 Vectors as persistent memory for NVIDIA NeMo Agent Toolkit (NAT v1.6)

A how-to showing how to implement Amazon S3 Vectors as a custom memory provider for the open-source NVIDIA NeMo Agent Toolkit (NAT), including a MemoryEditor plugin, YAML configuration, and deployment on Amazon EKS; the post was tested with NAT v1.6 and uses Amazon Titan Text Embeddings V2 for embeddings. It demonstrates mapping NAT's memory model (MemoryItem/MemoryEditor) to S3 Vectors indexes and metadata, and explains required tooling and configuration for a multi-agent investment research example.

5.0