In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the model’s own knowledge or context that it is provided. However, as use cases have matured, the ability for a model to have access to tools or structures that would be inherently …
Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel, and Outlook, as the backbone of their daily workflows. In this …
Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock Read More »
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 …
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 »
Together, Microsoft and NVIDIA are accelerating some of the most groundbreaking innovations in AI. This long-standing collaboration has been at the core of the AI revolution over the past few years, from bringing industry-leading supercomputing performance in the cloud to supporting breakthrough frontier models and solutions like ChatGPT in Microsoft Azure OpenAI Service and Microsoft …
Microsoft and NVIDIA accelerate AI development and performance 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 …
