Today, at NVIDIA GTC, a global AI conference, Lenovo announced new hybrid AI solutions, built in collaboration with NVIDIA, that deliver the power of tailored generative AI applications to every enterprise and cloud, bringing transformational capabilities to every industry. Stemming from the expanded engineering collaboration announced with NVIDIA during Lenovo Tech World, the innovations help enterprises and cloud providers with the critical accelerated computing capabilities needed to succeed in the AI era, taking AI from concept to reality and empowering businesses to efficiently develop and deploy new AI use cases that drive innovation, digitalization and growth.
Amazon Web Services (AWS) and NVIDIA announced today that the new NVIDIA Blackwell GPU platform—unveiled by NVIDIA at its GTC 2024 developer conference—is coming to AWS.
Amazon commits to continued collaboration with the White House, policymakers, technology organizations, and the AI community to advance the responsible and secure use of AI.
NVIDIA Blackwell on AWS delivers a massive leap forward in speeding up inference workloads for resource-intensive, multi-trillion parameter language models. In other words, the combination of NVIDIA’s latest Superchips running on AWS’s cloud infrastructure will help customers across every industry unlock new generative artificial intelligence (AI) capabilities at an even faster pace.
Generative AI has unlocked the ability to create helpful virtual AI agents with amazing skills to teach, assist, predict, and protect. For AI agents to truly connect with humans—they need to be seamless, personalized, knowledgeable, conversationally fluid, and empathetic. Healthcare is immensely complex and personal—whether for a patient or a doctor. Meet this AI agent developed in partnership with Hippocratic AI, built with Hippocratic AI’s state-of-the-art technology—from automatic speech recognition to their one-trillion-parameter LLM constellation to text-to-speech—with NVIDIA ACE microservices.
Generative AI enhances driver and passenger experiences inside the car. Your vehicle’s avatar alerts you about unique obstacles, offers diverse camera perspectives for better situational awareness, interprets signs, manages HOV lane fees, and can even communicate in multiple languages with domain-specific knowledge.
Last October, I wrote about the challenges that prevent organizations from fully unlocking the potential of AI to drive business outcomes. Since then, the continued rise of AI has shone an even brighter light on one of the most critical ingredients to a successful AI strategy: an AI-ready data platform.
In the dynamic world of artificial intelligence and generative AI (GenAI), retrieval augmented generation (RAG) is emerging as a groundbreaking force. While ChatGPT democratized access to data science results, initially creating or modifying GenAI models was still elusive to all but the largest organizations. RAG is making AI accessible to all, fostering innovation, enabling scalability and providing real-time data access. In this blog post, we’ll explore why RAG is being hailed as the great democratizer in the AI industry and how it holds the potential to revolutionize industries across the spectrum. Welcome to the future of AI, where every organization can control its AI journey by tapping into the power of retrieval augmented generation.