Written by 4:00 pm Generative AI, Innovation, NVIDIA

### NVIDIA Unveils Innovations in Gaming, Content Creation, AI, and Robotics at Les

The AI revolution returned to where it started this week, putting powerful new tools into the hands…

Gamers and content creators now have access to cutting-edge tools as the AI revolution gains momentum this month.

A significant highlight from a news-packed presentation delivered ahead of this year’s Les trade show in Las Vegas was the unveiling of new GPUs tailored for gamers and content creators, alongside relational AI models aimed at bringing realistic characters to games and applications.

During the presentation, NVIDIA’s senior vice president for GeForce, Jeff Fisher, and executives from various sectors underscored the company’s crucial role in the latest technological shift known as conceptualAI.

A Platform for Generative AI

Fisher emphasized the importance of NVIDIA’s RTX GPUs, which have exceeded 100 million shipments, in the emerging field of relational AI. Noteworthy advancements such as ChatGPT and Stable Diffusion highlight the significance of RTX GPUs in this domain.

By utilizing NVIDIA’s TensorRT-LLM libraries for Windows, large language models like Llama 2 and Mistral can achieve up to 5x acceleration on RTX Laptops, enhancing performance in tasks such as browsing-mixed generation through techniques like RAG. The upcoming launch of Chat XX playground further boosts the capabilities of RTX-accelerated LLMs.

Furthermore, Fisher introduced TensorRT motion to the widely used Automatic1111 text-to-image application, resulting in performance enhancements of up to 60%.

Debut of Services Featuring Generative AI Models for Digital Avatars from NVIDIA Avatar Cloud Engine (ACE)

NVIDIA ACE, a technological system powered by conceptual AI, leads the way in animating digital avatars. ACE AI models can operate either directly on laptops or in the cloud.

In a demonstration by NVIDIA’s Product Manager Seth Schneider, the innovative capabilities of Convai’s technologies within ACE were showcased. This process involves converting a person’s voice input into text using automated speech recognition, generating a response through an LLM, and converting the text into speech and animation for seamless integration into virtual environments.

NVIDIA is preparing to launch ACE Generation Microservices for Nivid Audio2Face and Riva Automatic Speech Recognition at CES, enabling developers to smoothly integrate these models into their workflows. Additionally, ACE and conceptual AI systems are set to transform interactions between players and non-playable characters in games and applications.

iStock and AI Image Generation Tools Powered by NVIDIA Picasso Unveiled by Getty Images

Developers and marketers can now leverage relationalAI to create conceptual imagery and social media content with the introduction of NVIDIA Picasso-powered tools by iStock from Getty Images. By harnessing AI trained on Getty Images’ vast collection, users can generate 4K images from text, with advanced editing interfaces for greater control over the creative process.

These state-of-the-art conceptual AI services are accessible through istock.com and API integration, offering a fresh dimension to content creation and design.

Introduction of NVIDIA GeForce RTX 40 SUPER Series

Fisher announced the debut of the GeForce RTX 40 SUPER GPUs, promising enhanced gaming performance and conceptual AI capabilities. The RTX 4080 SUPER, priced at $999 and set for availability from January 31, delivers exceptional ray tracing performance and significant improvements over its predecessors.

Following that, the RTX 4070 Ti SUPER and RTX 4070 SUPER were introduced, offering enhanced features and performance at competitive price points. These GPUs are poised to redefine gaming experiences with their advanced AI capabilities and improved efficiency.

Launch of NVIDIA RTX Remix Open Beta This Quarter

The upcoming release of the NVIDIA RTX Remix software, scheduled for an open beta launch on January 22, aims to transform game modding by providing ray tracing, DLSS, and other AI-powered tools for revamping traditional games. Notable remakes, including projects for Portal and Half-Life 2, demonstrate the transformative potential of RTX Remix in enhancing gaming experiences.

Enhanced Multi-Encode LiveStreaming by Twitch and NVIDIA

Twitch, in partnership with OBS and NVIDIA, introduced Enhanced Broadcasting to optimize streaming quality for viewers. This innovative feature, supported by all RTX GPUs, enables streamers to deliver multiple streams to viewers at varying resolutions and quality levels, ensuring an optimal viewing experience for all audiences.

Moreover, Twitch is exploring 4K streaming and AV1 support on GeForce RTX 40 Series GPUs, further enhancing the streaming capabilities and quality for content creators.

“New Wave” of AI-Ready RTX Devices

Fisher unveiled a new wave of AI-ready RTX devices from major manufacturers, catering to gamers, developers, and AI enthusiasts worldwide. With over 50 million RTX products in use globally, NVIDIA continues to lead the industry in providing cutting-edge graphics and AI capabilities for a diverse range of applications.

Blizzard and Activision Games Embrace RTX Technology

Kristina Bartz, NVIDIA’s Consumer Marketing Manager, highlighted the integration of RTX technology in over 500 games and applications, with new titles continually being added to the list. Notable games like Horizon Forbidden West and Diablo IV are set to leverage DLSS 3 and RTX ray tracing for enhanced visual experiences.

Day-Passes and G-SYNC Technology Coming to GeForce

GeForce’s collaboration with Activision extends to cloud gaming with GeForce NOW, offering titles like Call of Duty: Modern Warfare 3 and upcoming releases such as Overwatch 2 and Diablo IV. The introduction of Day Pass account options and Cloud G-SYNC technology further enhances the gaming experience for users, providing seamless gameplay and optimized display refresh rates.

Intelligent Robots Empowered by Generative AI and NVIDIA Isaac

Deepu Talla, NVIDIA’s Vice President of Robotics and Edge Computing, emphasized the integration of relational AI in robotics, paving the way for advanced applications in real-world scenarios. NVIDIA’s technology ecosystem, in collaboration with industry leaders like Boston Dynamics and Collaborative Robots, is driving innovation in human-computer interactions and robotic advancements.

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Last modified: January 11, 2024
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