![]() Nvidia said that this newfound capability empowers WPP clients to generate a multitude of ads, videos and 3D experiences customized for global markets, accessible on any web device. By utilizing GenAI tools trained on responsibly sourced data and powered by Nvidia Picasso, these teams would now be able to quickly produce virtual sets. This engine enables creative teams to connect their 3D design tools like Adobe Substance 3D to create digital twins of client products within the Nvidia Omniverse. Together, the companies have developed an innovative content engine on the Omniverse Cloud platform. Huang said the potential of generative AI expands to the digital advertising industry, in which Nvidia collaborates with the marketing services organization WPP. Leveraging generative AI for digital advertising and manufacturing workloads The collaboration aims to enhance and expand the installed base of more than 100 million PCs with RTX GPUs featuring Tensor Cores, thereby boosting the performance of more than 400 AI-accelerated Windows applications and games. The partnership involves developing enhanced tools, frameworks and drivers that streamline AI development and deployment process on PCs. The toolkit encompasses essential AI foundation models such as Nvidia Riva for speech detection and transcription, Nvidia NeMo for generating customized responses and Nvidia Omniverse Audio2Face for animating these responses.Īdditionally, Nvidia announced its collaboration with Microsoft to drive innovation in the generative AI era for Windows PCs. ![]() ACE equips non-playable characters with conversational abilities, allowing them to respond to inquiries with evolving lifelike personalities. Huang also unveiled the Nvidia Avatar Cloud Engine (ACE) for Games, a foundry service that empowers developers to create and deploy custom AI models for speech, conversation and animation. Huang emphasized that, “DGX GH200 AI supercomputers integrate Nvidia’s most advanced accelerated computing and networking technologies, pushing the boundaries of AI.” Huang said that tech giants like Google Cloud, Meta and Microsoft are already exploring the capabilities of DGX GH200 for their generative AI workloads. With an exaflop of performance and 144 terabytes of shared memory, the DGX GH200 surpasses its predecessors by almost 500 times, enabling developers to build intricate language models for GenAI chatbots, advanced algorithms for recommender system and sophisticated graph neural networks for tasks like fraud detection and data analytics. Register Now Advanced performance and memory ![]()
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