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NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart

NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart

Today, we are excited to announce the day-zero availability of NVIDIA Nemotron 3 Ultra on Amazon SageMaker JumpStart. With this launch, you can now deploy the Nemotron 3 Ultra model using a one-click deployment experience. Nemotron 3 Ultra is an open model built for frontier reasoning and orchestration in long-running autonomous agents, delivering 5x faster …

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How to build self-driving AI operations on Amazon Bedrock at scale

How to build self-driving AI operations on Amazon Bedrock at scale

Amazon Bedrock powers generative AI for more than 100,000 organizations worldwide—from startups to global enterprises across every industry. It provides the proven infrastructure and comprehensive capabilities to confidently build applications and agents that work in production with the flexibility, enterprise security, and proven scalability you need to innovate boldly and deliver AI that drives real …

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Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart

Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart

Today, we’re announcing support for Fundamental’s NEXUS model on Amazon SageMaker AI. With this launch, you can deploy a foundation model (FM) purpose-built for tabular data prediction. This model helps your enterprise generate accurate, deterministic predictions from structured data in days instead of months. In this post, we show you how to get started with …

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Reducing container cold start times using SOCI index on DLAMI and DLC

Reducing container cold start times using SOCI index on DLAMI and DLC

Deep Learning AMI and AWS Deep Learning Containers are now enabled with support for SOCI snapshotter and index. Seekable OCI (SOCI) is a technology that enables efficient container image management through selective file downloading. It uses a layer-based indexing system to map file locations within container images, allowing containers to start with only the necessary …

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Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI

Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI

AI agents can autonomously handle complex, multi-step tasks, but their effectiveness depends on calling the right tools to retrieve information or take action. When an agent picks the wrong tool, formats parameters incorrectly, or breaks a workflow chain, task completion times grow, error rates rise, support costs increase, and user experiences degrade. As more organizations …

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The art and science of hyperparameter optimization on Amazon Nova Forge

The art and science of hyperparameter optimization on Amazon Nova Forge

Large language models (LLMs) deliver strong results on general tasks, but they often struggle with specialized work that requires understanding proprietary data, internal processes, or domain-specific terminology. Amazon Nova Forge addresses this by enabling you to build your own frontier models using Amazon Nova. You can start development from early model checkpoints, blend proprietary data …

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Object detection with Amazon Nova 2 Lite

Object detection with Amazon Nova 2 Lite

Traditional computer vision solutions can require significant upfront investment. Setting up data pipelines, model training infrastructure, compute resources, and a dedicated data science team is often prohibitive for small companies or teams. Amazon Nova 2 Lite, available through Amazon Bedrock, provides an appealing alternative solution. This multimodal foundation model detects objects through natural language prompts …

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How Baz improved its AI Agent Code Review accuracy using Amazon Bedrock AgentCore

How Baz improved its AI Agent Code Review accuracy using Amazon Bedrock AgentCore

Code review was always manual and ineffective because of the inherent disconnect between code and product. Developers could review whether code compiled and worked, but not whether it fulfilled all functional and design requirements. In the past, QA teams spent hours manually clicking through preview environments to ensure features behaved as expected, and even more …

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Building a secure auth code flow setup using AgentCore Gateway with MCP clients

Building a secure auth code flow setup using AgentCore Gateway with MCP clients

In modern development workflows, developers increasingly rely on agentic coding assistants such as Kiro Integrated Development Environment (IDE) to interact with remote tools and services. However, organizations require robust authentication mechanisms to provide secure, identity-verified access between these agentic coding assistants and enterprise Model Context Protocol (MCP) servers. Amazon Bedrock AgentCore is a fully managed …

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