NVIDIA announces new chips and tools for on-device AI

NVIDIA unveiled new GPUs, graphics cards, and developer tools at CES, targeting AI models and applications on local devices. The focus shifts to powering generative AI on laptops and PCs with GeForce RTX SUPER desktop GPUs. New AI developer tools and features like AI Workbench and NVIDIA RTX Remix aim to transform gaming. More announcements are expected at CES.

 NVIDIA announces new chips and tools for on-device AI

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NVIDIA Announces New Chips and Tools for On-Device AI

NVIDIA’s Latest Offerings for On-Device AI

NVIDIA has launched a new range of GPUs, graphics cards, and developer tools designed to power AI models and applications on local devices, such as laptops and PCs. These include the GeForce RTX SUPER desktop GPUs, which will be featured in new laptops from leading manufacturers.

Practical Benefits of On-Device AI

Having hardware capable of running Large Language Models (LLMs) locally offers significant advantages:

  • Cost: No cloud-hosted API or infrastructure costs for LLM inference.
  • Always-on: No internet connectivity required.
  • Performance: Low latency or even real-time inference.
  • Data privacy: Data can remain on the device instead of passing through cloud servers.

New AI Developer Tools

NVIDIA also introduced new developer tools, including the AI Workbench and RTX Remix, which are aimed at simplifying AI project development and enhancing gaming experiences through generative AI magic.

Bringing AI to Gaming

NVIDIA’s RTX Remix breathes new life into classic games by upscaling resolution, improving textures, and allowing modification of game elements using generative AI. Additionally, the NVIDIA Avatar Cloud Engine (ACE) and Chat with RTX tools open up opportunities for game developers to leverage generative AI for digital avatars and personalized user interactions.

Evolve Your Company with AI

If you want to leverage NVIDIA’s new chips and tools for on-device AI and evolve your company with AI, consider the practical steps below:

  • Locate key customer interaction points that can benefit from AI.
  • Ensure your AI endeavors have measurable impacts on business outcomes.
  • Choose AI tools that align with your needs and provide customization.
  • Start with a pilot, gather data, and expand AI usage judiciously.

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