Introduction:
In a landmark announcement at CES 2024, NVIDIA has set the stage for a transformative shift in computing with the introduction of groundbreaking technologies. This includes the unveiling of GeForce RTX SUPER desktop GPUs, a lineup of AI laptops from top manufacturers, and cutting-edge RTX-accelerated AI software and tools.
Additionally,NVIDIA’s commitment to advancing generative AI is evident in its efforts to enhance PC experiences, fostering a new era of innovation and productivity.
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Empowering Generative AI on PCs:
Drawing on its decades of leadership in the PC industry, NVIDIA introduces tools that harness the power of generative AI. The Tensor Cores within the RTX GPUs significantly boost AI performance across diverse applications, marking a significant stride in the AI PC era. The newly revealed GeForce RTX 40 SUPER Series graphics cards, including models like RTX 4080 SUPER and 4070 Ti SUPER, showcase exceptional AI video and image generation speeds, revolutionizing gaming, content creation, and everyday productivity.
AI Laptops Redefined:
Collaborating with leading manufacturers such as Acer, ASUS, Dell, HP, Lenovo, MSI, Razer, and Samsung, NVIDIA is spearheading a new wave of AI laptops. These devices, equipped with RTX technology, bring a comprehensive set of generative AI capabilities to users right out of the box. The performance leap, ranging from 20x to 60x compared to neural processing units, ensures a seamless and powerful user experience.
Developer Tools for AI Model Building:
Recognizing the pivotal role of developers in shaping the AI landscape, NVIDIA introduces AI Workbench—a unified toolkit for AI developers. This user-friendly platform, available in beta later this month, streamlines access to popular repositories and facilitates the creation, testing, and customization of pretrained generative AI models. The collaboration with HP further simplifies AI model development by integrating NVIDIA AI Foundation Models and Endpoints into the HP AI Studio, promoting a centralized platform for data science.
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Advancements in TensorRT and TensorRT-LLM:
NVIDIA’s commitment to accelerating AI extends to TensorRT and TensorRT-LLM. The open-source library, TensorRT-LLM, now supports more pre-optimized models for PCs, ensuring enhanced inference performance. Additionally, the integration of text-based applications with TensorRT-LLM for Windows opens up new possibilities, allowing developers to harness the power of large language models for a variety of applications.
RTX-Accelerated Generative AI Applications:
At CES, NVIDIA showcases a plethora of generative AI-powered applications and services for PCs. Additionally,RTX Remix, ACE microservices, TensorRT-accelerated models like Stable Diffusion XL Turbo, and DLSS 3 with Frame Generation redefine possibilities for gaming, content creation, and more. 
Chat with RTX, a tech demo available later this month, exemplifies the potential of generative AI in local PC interactions, offering a glimpse into the future of AI-powered personal computing.
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Expanded Ecosystem with Mobile Workstations:
NVIDIA extends its impact beyond traditional PCs by enabling AI on mobile workstations. These workstations, equipped with RTX GPUs, can run NVIDIA AI Enterprise software, providing a three-year license for AI Enterprise with every NVIDIA A800 40GB Active GPU. Moreover,this move reinforces NVIDIA’s commitment to making AI accessible across different computing platforms.
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Innovations in AI Model Optimization:
The introduction of AI Workbench, coupled with NVIDIA TensorRT, empowers developers to create, test, and optimize AI models with ease. NVIDIA’s focus on text-based applications through TensorRT-LLM for Windows, featuring pre-optimized models like Phi-2, opens up new frontiers for AI applications, running up to 5x faster compared to other inference backends.
Diverse Range of RTX-Accelerated Applications:
NVIDIA’s commitment to RTX-accelerated generative AI is reflected in the diverse applications showcased at CES. From RTX Remix, transforming classic game textures into modern, 4K-resolution materials, to ACE microservices enabling dynamic digital avatars in games, NVIDIA is pushing the boundaries of what is possible with AI.
Conclusion:
NVIDIA’s commitment to advancing generative AI marks a pivotal moment in the evolution of computing. The unveiling of GeForce RTX SUPER GPUs, AI laptops, and advanced software tools, coupled with an expanded ecosystem and innovations in AI model optimization, underscores the company’s dedication to empowering developers and users alike. As the AI PC era dawns, NVIDIA’s comprehensive approach promises to reshape industries, opening new frontiers for creativity, productivity, and immersive experiences.
