Nvidia unveiled new RTX technology at Computex to power new GeForce RTX AI laptops. Among them, the Project G-Assist technology demo provides context-aware assistance for PC games and apps.firstAppeared in Studio Wildcard's ARK: Survival Ascended, providing players with personalized assistance with game knowledge.
In addition, Nvidia has also launchedThe firstPC-based Nvidia ACE Nvidia announced these technologies during a keynote by CEO Jen-Hsun Huang, showcasing the power of the Nvidia RTX AI Toolkit, a new set of tools and SDKs that help developers optimize and deploy large-scale generative AI models on Windows PCs. These technologies join Nvidia’s full suite of RTX AI innovations, accelerating more than 500 PC apps and games and more than 200 OEM notebook designs.
In addition, ASUS and MSI launchedup to date RTX AI PC The notebook is equipped withHighestUp to GeForce RTX4070 GPU and power-efficient system chip, supporting Windows 11 AI PC features.
“Nvidia ushered in the AI PC era with the launch of our RTX Tensor Core GPUs and DLSS technology in 2018,” said Jason Paul, vice president of Nvidia. “Now, with Project G-Assist and Nvidia ACE, we’re enabling the next generation of AI-powered experiences for our more than 100 million RTX AI PC users.”
Project G-Assist is a GeForce AI assistant designed to provide gamers with game knowledge and performance optimization. It generates personalized responses for gamers' game sessions by enhancing contextual awareness and application-specific understanding through AI vision models. Nvidia ACE NIM provides high-quality reasoning for digital characters, including natural language understanding, speech synthesis, and facial animation.
In addition, Nvidia has also partnered with Microsoft to launch Windows Collaborative Runtime to add GPU acceleration to local PC SLMs (Small Language Models). This collaboration will provide application developers with easily accessible APIs to run RAG functions on devices. SLMs offer a wealth of possibilities, including content summarization, content generation, and task automation.
Nvidia also introduced RTX AI Toolkit, providing developers with a set of tools and SDKs to customize, optimize, and deploy models on RTX AI PCs. These tools help developers build application-specific AI models that can run on PCs.
Nvidia has also integrated RTX AI acceleration into content creation applications, including support for video editing software, to provide users with more efficient creative tools. Nvidia's RTX enhanced technology brings new experiences and application possibilities to AI PC digital assistants and digital character platforms.