NVIDIA Showcases New Gaming Laptops And Virtual Assistant For Your Car At CES 2022

The company is targeting gamers and game designers with 160 new laptops featuring a new GPU.

NVIDIA is working with many new electric car manufacturers in China.


Engineers who build self-driving cars and artists who create virtual worlds are the target consumers of Nvidia’s CES 2022 news. The first half of the company’s virtual press conference was all about the game: the people playing games and the people who build them. Jeff Fisher, senior vice president of GeForce, announced more than 160 new GeForce RTX and Studio laptops and an RTX 3050 graphics card. Ali Kani, vice president and general manager of automotive, described the automotive advances of the business in the second half of the year.

Fisher shared all the stats that drive the nearly $ 3 billion gaming market: esports, streaming channels, the popularity of watching online game content, and world building games like Roblox.


Ali Kani, NVIDIA vice president and general manager, automotive, shared the company’s progress in developing software and hardware for autonomous vehicles at a press conference at CES 2022.


Fisher said the company has invested heavily in its software stack to attract gamers as well as the creators inventing the games.

The company’s cloud gaming service, GForce, was also at the center of product news. NVIDIA has announced a partnership with Samsung that will make the gaming platform available on smart TVs. The service is already available on LG 2021 Web OS smart TVs.

Fisher also announced a partnership with AT&T to make GForce available on the 5G telecommunications network.

The GeForce RTX 3080 Ti and RTX 3070TI laptop GPUs will be available on February 1 in laptops from Alienware, ASUS, MSI and Razer with more to follow in the coming months. New and updated GeForce laptops range from 14-inch subnotebooks starting at $ 799 to 17-inch models.

Fisher also shared an update on the Max-Q design approach the company uses to build laptops. These updates include:

  1. A CPU optimizer to allow more power to be transferred to the GPU
  2. Fast core scaling that can detect real-time requests from an application and only use the cores required at that time
  3. Battery boost 2.0 which uses artificial intelligence to improve power consumption and increase battery life

Omniverse software for world builders

NVIDIA wants gamers and game makers to be its customers and is developing software and hardware to attract those customers. The company announced that its Omniverse software will now be free to individual NVIDIA Studio creators using GeForce RTX and NVIDIA RTX GPUs. Artists and designers use the real-time 3D design platform to create 3D elements and scenes with rendering, physics, and other tools. NVIDIA reports that the software has been downloaded by nearly 100,000 designers since it launched in open beta a year ago.

At the CES 2022 press conference, Fisher announced new platform developments, including:

  • Nucleus Cloud with easy “one-click to collaborate” sharing of large Omniverse 3D scenes.
  • New support for the Omniverse ecosystem provided by leading 3D marketplaces and digital asset libraries such as Omniverse Ready Assets for Creators, all based on TurboSquid’s Universal Scene Description (USD) format by Shutterstock, CGTrader, Sketchfab and Twinbru.
  • Omniverse Machinima with new free characters, items and environments from major game titles that allows creators to remix and recreate their own in-game cutscenes with these assets by dragging and dropping them into their scenes.
  • Omniverse Audio2Face, an AI-enabled app that instantly animates a 3D face with just one audio track, now offers blendshape support and direct export to Epic’s MetaHuman Creator app.

NVIDIA’s virtual assistant for your car

There has been a certain crossover between the games part of the press conference and the automotive segment. Kani showed off the talents of a virtual assistant built with NVIDIA’s Omniverse platform when describing the company’s DRIVE Concierge service. The virtual assistant is designed to work with the company’s DRIVE driver and uses real-time conversational AI to perform a variety of tasks. In a demo video, the driver asks the assistant to open the sunroof, check messages, and make dinner reservations. The Concierge mispronounces miso when describing the chef’s specialty at the recommended restaurant but is able to suggest a white wine to accompany the meal.

Kani also described how customers are using the company’s eighth generation DRIVE Hyperion platform, which has been adopted by automakers, truck makers, Tier 1 automakers, and robotaxi companies.

“We have partners who simply buy our chips and main operating system while developing their own software applications, while other partners rely on us on the entire stack, from autonomous driving software to training. AI models in the cloud, ”Kani said.

DRIVE Hyperion is a benchmark architecture for the development, testing and validation of autonomous vehicles. The platform integrates a suite of sensors that includes 12 exterior cameras, three interior cameras, nine radars, 12 ultrasound and a frontal lidar, plus a lidar for collecting ground truth data. DRIVE Hyperion includes the complete software stack for autonomous driving as well as driver monitoring and visualization which can be updated wirelessly.

Kani said the company is working with many new electric car makers, including many in China.

“These electric cars will improve over time with each live update,” he said.

“These companies can benefit from new software-based business models rather than selling a car and seeing it go bad after it is kicked out of the dealership.”

NVIDIA is also working with TuSimple, an independent trucking company that is developing a freight network in partnership with UPS, Navistar and Penske.

Kani said that developing autonomous vehicle technology is one of the biggest challenges for AI. NVIDIA is building Drive Sim Replicator to get around this difficulty. The platform uses synthetic data to help AV technology analyze and understand harsh environments, such as driving at night and navigating construction areas.

“With synthetic data, engineers can train AI models even before data has been collected,” Kani said. “It’s accurate, inexpensive, and fills data gaps that are hard to find in the real world. “


NVIDIA’s DRIVE Concierge is a virtual assistant that uses conversational artificial intelligence to respond to a driver’s requests such as adjusting the car’s temperature, checking messages, and making restaurant reservations.


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