NVIDIA showcases new gaming laptops at CES 2022.

The 160 new laptops will be available to gamers and game developers.

NVIDIA has partnered with many electric car manufacturers in China.


Nvidia’s CES-2022 news targets engineers who build self-driving vehicles and artists who create virtual environments. The first half of the company’s virtual press conference was all about gaming—the people playing the games and the people building them. Jeff Fisher, senior vice-president, GeForce announced More than 160 new GeForceRTX and Studio laptopsAn RTX 3050 graphic card. Ali Kani (Vice President and General Manager, Automotive) described the company’s automotive innovations in the second quarter.  

Fisher shared the following stats that drive the almost $3 billion gaming market: esports and streaming channels, esports, esports and Roblox, as well as the popularity of online gaming content.  


Ali Kani, vice president of NVIDIA and general manager automotive, spoke at CES 2022 to share the company’s progress with developing software and hardware that can be used in autonomous vehicles.


Fisher explained that the company has made huge investments in its software to attract both gamers and creators of the games. 

GForce, NVIDIA’s cloud gaming service, was also an important part of the product announcement. NVIDIA announced a partnership agreement with Samsung to make the gaming platform on smart televisions. The service is already on LG 2021 Web OS SmartTVs. 

Fisher also announced a partnership with AT&T to make GForce available on the telecom’s 5G network. 

The GeForce RTX3080T and RTX3070TI laptop graphics will be available February 1 in laptops sold by Alienware and MSI. Additional products will follow in the months. The GeForce laptops are updated and range in price from ultraportable 14-inch models starting at $799 up to larger 17-inch models.

Fisher shared an update on the Max-Q design process that the company uses when building laptops. These updates include:

  1. A CPU optimizer allows for the transfer of more power into the GPU  
  2. Rapid core scaling, which can detect real-time application demands and only use the cores that are needed
  3. Battery boost 2.0 uses artificial intelligence to increase battery life and power consumption.

Software for world builders, Omniverse

NVIDIA wants gamers to be its customers, and it is developing software and hardware in order to do so. The company Announced that Omniverse Software will be now freeIndividual NVIDIA Studio creators who use GeForceRTX and NVIDIARTX GPUs. Designers and artists use the platform to create 3D assets with rendering, physics, or other tools. NVIDIA reports that almost 100,000 designers have downloaded the software since its open beta launch one year ago. 

Fisher announced several new platform developments during the CES 2022 conference.

  • Nucleus Cloud with “one-click-to-collaborate” simple sharing of large Omniverse 3D scenes.
  • The Omniverse ecosystem now has new support from leading 3D marketplaces as well as digital asset libraries like Omniverse-ready resources for creators. These assets are all based upon Universal Scene Description (USD), format from TurboSquid By Shutterstock and CGTrader, Sketchfab, Twinbru, and Sketchfab.
  • Omniverse Machinima is a collection of new, unlocked characters, objects, or environments from popular games. It allows creators the freedom to make their own movie scenes by simply dragging and dropping these assets into their scenes.
  • Omniverse Audio2Face, an AI enabled app that instantly animates a 3-D face using just an audio track and now includes blendshape support, direct export to Epic’s MetaHuman Creator app, and more 

NVIDIA’s virtual assistant to your car

There was crossover between the automotive and gaming segments at the press conference. Kani demonstrated the capabilities of a virtual assistant created with NVIDIA’s Omniverse platform, as he spoke about the company’s DRIVE concierge service. This virtual assistant works with the company’s DRIVE Chauffeur, and uses real-time conversational artificial intelligence to complete various tasks. In a demo videoThe driver then asks the assistant to open and check the sunroof, make reservations, and look at the messages. While the Concierge misspells “miso” when describing the chef at the recommended restaurant, she is able suggest a white to pair with the meal. 

Kani also shared the experiences of customers using the software. The eighth generation of the company’s DRIVE Hyperion platformThe standardized has been adopted by automakers and truck manufacturers, Tier 1 automotive producers, robotaxi companies, and other robotics companies.

Kani explained that while some partners may just purchase our chips and core OS system, they are not able to develop their own software applications. Other partners can rely on us throughout the stack, including self-driving software and training AI models in the Cloud.

DRIVE Hyperion provides a reference architecture to help with the development, validation and testing of autonomous vehicles. The platform includes a sensor suite with 12 exterior cameras and three interior cameras. It also has nine radars and 12 ultrasonics. One lidar is used for ground truth data collection. DRIVE Hyperion includes the complete software stack for autonomous driving, as well as driver monitoring/visualization that can be updated over the air. 

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

He said that “These electric cars will become better and better over the course of time with every over-the air update.” 

Software driven business models are better than selling cars and watching them degrade after they leave the dealership.”

NVIDIA is also collaborating with TuSimple (an autonomous trucking company) that is creating a network of freight in partnership with UPS and Navistar.

Kani stated that developing autonomous-vehicle technology for AI is one of the greatest challenges. NVIDIA is developing Drive Sim Replicator as a solution to this problem. The platform uses synthetic information to assist AV technology with challenging environments like driving at night or traversing construction zones. 

Kani stated that engineers can use synthetic data to train AI models before any data is collected. “It is accurate, cheap, and fills the gaps in data that cannot be found in real life.”


NVIDIA’s Driver Concierge, which uses conversational AI to answer driver questions such as changing the temperature or making restaurant reservations, is powered by NVIDIA.

Image by NVIDIA

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