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As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value. The organizations that figure this out first will have a significant …

From innovation to impact: How AWS and NVIDIA enable real-world generative AI success Read More »

Today, we are excited to announce that Amazon Q Business—a fully managed generative-AI powered assistant that you can configure to answer questions, provide summaries and generate content based on your enterprise data—is now generally available in the Europe (Ireland) AWS Region. Since its launch, Amazon Q Business has been helping customers find information, gain insight, …

Amazon Q Business now available in Europe (Ireland) AWS Region Read More »

This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of generative AI, scalable and efficient model training frameworks are essential. The NVIDIA NeMo Framework provides a robust, end-to-end solution for developing, customizing, and deploying large-scale AI models, while Amazon SageMaker HyperPod delivers …

Running NVIDIA NeMo 2.0 Framework on Amazon SageMaker HyperPod Read More »

Today, we are excited to announce that the NeMo Retriever Llama3.2 Text Embedding and Reranking NVIDIA NIM microservices are available in Amazon SageMaker JumpStart. With this launch, you can now deploy NVIDIA’s optimized reranking and embedding models to build, experiment, and responsibly scale your generative AI ideas on AWS. In this post, we demonstrate how …

NeMo Retriever Llama 3.2 text embedding and reranking NVIDIA NIM microservices now available in Amazon SageMaker JumpStart Read More »

An overview of the collaboration between Google and NVIDIA and a preview of the announcements at GTC this week.

I’m excited to share a major leap forward in how we develop and deploy AI. In collaboration with NVIDIA, we’ve integrated NVIDIA NIM microservices and NVIDIA AgentIQ toolkit into Azure AI Foundry—unlocking unprecedented efficiency, performance, and cost optimization for your AI projects.  Create with Azure AI Foundry > A new era of AI efficiency  In …

Accelerating agentic workflows with Azure AI Foundry, NVIDIA NIM, and NVIDIA AgentIQ Read More »

As generative AI adoption accelerates across enterprises, maintaining safe, responsible, and compliant AI interactions has never been more critical. Amazon Bedrock Guardrails provides configurable safeguards that help organizations build generative AI applications with industry-leading safety protections. With Amazon Bedrock Guardrails, you can implement safeguards in your generative AI applications that are customized to your use …

Amazon Bedrock Guardrails announces IAM Policy-based enforcement to deliver safe AI interactions Read More »

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. Today, generative AI can help bridge this knowledge gap for nontechnical users to generate SQL queries by using a text-to-SQL application. This …

Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding) Read More »

The rise of generative AI has significantly increased the complexity of building, training, and deploying machine learning (ML) models. It now demands deep expertise, access to vast datasets, and the management of extensive compute clusters. Customers also face the challenges of writing specialized code for distributed training, continuously optimizing models, addressing hardware issues, and keeping …

Unleash AI innovation with Amazon SageMaker HyperPod Read More »