AI on your PC? GeForce users are ahead

Improve your PC how works on AI ?

For GeForce RTX users, AI runs on PC. Personalization enhances every keystroke, frame, and moment.

Over 300 RTX games use AI. Content creators may use over 100 RTX creative and design tools with AI for video, photo, and asset development.

GeForce fans are just getting started. Today’s platform and tomorrow’s AI accelerator is RTX.

How Did AI and Gaming Merge?

NVIDIA pioneered AI-powered pixel generation in video games with DLSS, which has enhanced frame speeds by 4x.

With DLSS 3.5, NVIDIA has improved the visuals in some of the world’s top games, creating a new benchmark for visually richer and more engaging gameplay.

NVIDIA’s AI integration continues. RTX Remix lets modders remake vintage content using AI-generated textures and materials.

With NVIDIA ACE for Games, PC AI-powered avatars bring immersive gaming to a new level.

How Do RTX and AI Help Creators?

AI helps creators imagine fresh ideas, automate boring activities, and create gorgeous art. Because RTX accelerates popular picture, video, broadcast, and 3D apps, they employ it.

Creators can accomplish more and get great outcomes with over 100 AI-enabled RTX apps.

Performance metrics are astonishing.

In tools like Stable Diffusion, RTX GPUs generate AI images 4.5x faster than rival chips. Blender speeds up 3D rendering by 5.4x.

NVIDIA RTX AI tech outperforms competitors in multiple workflows by 10x.

NVIDIA offers creator-specific AI tools, apps, and software development kits. NVIDIA Omniverse, OptiX Denoiser, Canvas, Broadcast, and DLSS are exclusives.

How is AI changing digital life beyond chatbots?

In addition to gaming and content creation, RTX GPUs offer AI to all users.

With Microsoft, 100 million RTX-powered Windows 11 PCs and workstations are AI-ready.

NVIDIA’s dynamic AI hardware and software stack with Windows’ complementing technologies power hundreds of Windows apps and games.

Gamers: Over 300 games use RTX-accelerated AI to improve frame rates and visuals.

More than 100 AI-enabled creative apps, including the leading image generating, video editing, picture editing, and 3D apps, use RTX acceleration. AI speeds up creative work, automates boring activities, and expands creativity.

Video streamers: RTX Video Super Resolution uses AI to boost streaming video resolution and quality, improving home video.

NVIDIA Broadcast boosts RTX teleconferencing and remote learning for office workers and students. AI increases video and audio quality and adds unique effects to streamline virtual interactions and cooperation.

Developers: NVIDIA’s world-leading AI development platform and Microsoft-NVIDIA’s CUDA on Windows Subsystem for Linux allow developers to develop and train AI on Windows and easily migrate to servers for large training runs.

What Are RTX PC AI Applications Emerging?

Generative AI lets users quickly create new content from text, images, sounds, animation, 3D models, and other data, making AI easier to use on more PCs.

Multiple use cases involve large language models (LLMs).

ChatGPT, a cloud-based chatbot, is one of the fastest-growing apps ever.

Many LLMs now run directly on PC, enabling novel end-user applications including automatically composing papers and emails, summarizing online information, extracting spreadsheet insights, organizing travel, and powering general-purpose AI assistants.

LLMs are the hardest PC tasks and require an RTX GPU for AI acceleration.

What drives the AI revolution on desktops and beyond?

What drives PC AI innovation?

GPU-accelerated graphics processing, GeForce AI, and the cloud.

GPU parallel processing is well-known among gamers. How did the GPU enable cloud AI?

NVIDIA GPUs changed cloud services. These powerful systems power voice recognition and manufacturing automation.

OpenAI received the first NVIDIA DGX AI supercomputer, which powered ChatGPT’s LLM breakthrough, in 2016.

GPU-packed NVIDIA DGX supercomputers, formerly intended for AI research, now improve data and process AI 24/7 at businesses globally. Half of Fortune 100 organizations use DGX AI supercomputers.

The cloud supplies more than simply massive training data for these robots’ powerful AI algorithms.

Why Use Desktop AI?

The cloud looks unlimited, so why run AI on your desktop?

GPU-powered PCs, where AI debuted, remain popular.

Availability: Gamer and researcher alike need offline-responsive tools like games and wildlife researchers’ AI models.

Speed: Some applications require fast results. Cloud latency isn’t always sufficient.

Cloud uploads and downloads of huge datasets are inefficient and time-consuming.

Privacy: Everyone wants to keep their data private, whether they’re a Fortune 500 corporation or editing family photos and videos.

This architecture powers NVIDIA’s cloud performance and RTX GPUs. They combine local AI with NVIDIA tools and performance.

NPUs, also known as inference accelerators, are now in current CPUs, demonstrating AI’s expanding importance in all applications.

NPUs offload light AI tasks, whereas NVIDIA’s GPUs outperform challenging AI models by 20x-100x.

Where Will AI Go in Our Daily Lives?

AI will affect many facets of our life, not just trends.

AI functionality will grow as research and user expectations change. GPUs and a powerful software stack are needed to keep up.

NVIDIA leads this disruptive era with end-to-end optimized development solutions.

NVIDIA uses RTX to help developers bring AI features to PCs, increasing user value.

The PC AI ecosystem is rich and evolving, from gaming improvements with RTX Remix to the NVIDIA NeMo LLM language model for coders.

AI-powered experiences will change personal computing with amazing new gaming content, AI avatars, great creator tools, and the next generation of digital assistants.

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