At CES in Las Vegas on Monday, Nvidia’s Jensen Huang made a slew of AI announcements.
In his keynote address, Huang highlighted the company’s advancements in AI, robotics, autonomous vehicles, and gaming chips.
In this article, we bring you the most talked-about announcements that have got the tech world buzzing.
Nvidia’s next-gen RTX 50 GPUs
This was one of the most anticipated announcements ahead of Huang’s keynote speech.
Nvidia has officially unveiled its next-generation RTX 50-series GPUs, ending months of leaks and speculation.
During his CES keynote, CEO Jensen Huang revealed four new GPUs: the $1,999 RTX 5090, the $999 RTX 5080, the $749 RTX 5070 Ti, and the $549 RTX 5070. The RTX 5090 and RTX 5080 will be available on January 30, while the RTX 5070 Ti and RTX 5070 will follow in February.
The RTX 50-series introduces a new design for the Founders Edition, featuring two double flow-through fans, a 3D vapor chamber, and GDDR7 memory.
All RTX 50-series cards support PCIe Gen 5 and include DisplayPort 2.1b connectors for driving displays up to 8K at 165Hz.
Nvidia’s personal AI computer
Nvidia announced at CES that it will launch a personal AI supercomputer called Project Digits in May.
The core of Project Digits is the new GB10 Grace Blackwell Superchip, offering the power to run sophisticated AI models in a compact desktop-sized system that can be powered by a standard outlet.
This system can handle AI models with up to 200 billion parameters, and it will be priced starting at $3,000, with a design similar to a Mac Mini.
Nvidia CEO Jensen Huang emphasized that AI will become mainstream in every industry and application. The tech billionaire said:
“With Project Digits, the Grace Blackwell Superchip comes to millions of developers, placing an AI supercomputer on the desks of every data scientist, AI researcher, and student to engage and shape the age of AI.”
Nvidia partners with Toyota
Nvidia and Toyota are collaborating to integrate automated driving capabilities into a new fleet of vehicles, utilizing Nvidia’s Drive AGX Orin supercomputer and DriveOS.
Toyota has been using Nvidia’s cloud-based computing systems for several years, with the Toyota Research Institute adopting Nvidia’s technology in 2019 to develop, train, and validate its autonomous vehicle technology.
In 2017, the companies had already outlined plans to incorporate Nvidia supercomputers into future Toyota vehicles for autonomous driving systems.
Nvidia also announced a partnership with Aurora Innovation, an autonomous vehicle technology startup, and automotive supplier Continental.
This long-term collaboration aims to deploy driverless trucks at scale, powered by Nvidia’s Drive Thor system-on-a-chip.
“The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries,” said Huang, CEO of NVIDIA.
“NVIDIA is bringing two decades of automotive computing, safety expertise, and its CUDA AV platform to transform the multitrillion-dollar auto industry.”
Nvidia’s step towards physical AI
At CES 2025, Nvidia introduced NVIDIA Cosmos, a platform designed to accelerate physical AI development.
It includes a new family of world foundation models (WFMs), which are advanced neural networks capable of predicting and generating physics-aware videos of a virtual environment’s future state.
These models are intended to help developers build next-generation robots and autonomous vehicles (AVs).
World foundation models are as foundational as large language models.
They process various inputs such as text, images, videos, and movement data to simulate virtual worlds, accurately modeling spatial relationships and physical interactions of objects within the scene.
The first wave of Cosmos WFMs is now available for physics-based simulation and synthetic data generation.
Additionally, Nvidia is offering state-of-the-art tokenizers, guardrails, and an accelerated data processing pipeline. A framework for customizing and optimizing these models is also included.
Researchers and developers, regardless of their company size, can use the Cosmos models under Nvidia’s open model license, which allows for commercial usage.
Enterprises building AI agents can also leverage new open NVIDIA Llama Nemotron and Cosmos Nemotron models, unveiled at the event.
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