Last night, Nvidia (NVDA) CEO Jensen Huang took the stage at the Consumer Electronics Show (CES) 2025 as tech enthusiasts waited excitedly.
During last year’s CES keynote address, Huang announced three new graphics cards, including the Nvidia RTX 4000 Super, an important AI chip. As such, expectations were high as thousands of people tuned in last night to watch the Nvidia CES 2025 keynote address.
During Monday’s high-profile event, Huang unveiled several key innovations, highlighting Nvidia’s recent progress and plans for the coming year. A key takeaway is that while the company plans on maintaining its status as an industry leader, it is also shifting focus to other areas of artificial intelligence (AI), some of which appear to be poised for growth in the coming year.
The AI market may be shifting, but Nvidia is showing the world that it doesn’t plan to be left behind.
Top takeaways from Nvidia CEO’s CES 2025 keynote
Prior to last night’s keynote, many tech enthusiasts had spent weeks speculating that it would bring the unveiling of the new GeForce RTX 5000 Graphics card series.
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This hypothesis proved correct as Huang revealed a new lineup of consumer graphics cards, designed to significantly accelerate processing for areas such as 4K gaming and AI processing, as well as 3D rendering and graphic design. Nvidia describes this new chip series as offering “stunning visual realism and unprecedented performance boosts.”
Enthusiasm for this new AI chip series is high, indicating that the tech community is optimistic about its potential impact on the industry.
“With an astounding 92 billion transistors, next-gen Tensor Cores and Ray Tracing Cores, and more than double the AI processing speed of the 4090, the RTX 5090 will unquestionably be the most powerful consumer graphics card on the planet, and it won’t even be close,” predicts TechRadar.
The previous statement refers to the tiny electronic devices and specialized processing units that work together within a graphics processing unit (GPU) to help it handle a wide range of computational tasks, such as training AI models and enhancing digital gaming.
This new chip series could help revolutionize the gaming industry by helping gaming developers create more realistic graphics, delivering what has been described as an almost movie-like experience for gamers. However, the cost will be fairly high, with prices ranging from $549 to $1,999 for the chips arriving later this month and in February 2024.
🚨NVIDIA ANNOUNCES RTX BLACKWELL FAMILY OF GPU’S at CES 2025!
The wait is FINALLY over, welcome to RTX Blackwell!
Introducing:
🟢RTX 5090 – $1999
🟢RTX 5080 – $999
🟢RTX 5070 Ti – $749
🟢RTX 5070 – $549According to Jensen, the RTX 5070 has “4090 PERFORMANCE” for only $549!… pic.twitter.com/tWu3orGrDR
— This Brown Geek (@thisbrowngeek) January 7, 2025
Nvidia is looking far beyond AI chips, though. Huang also highlighted the company’s progress in the field of robotics and industrial AI.
Huang confirmed that the company is also making advancements in the field of physical AI and robotics through its NVIDIA Cosmos world foundation model platform.
So far, much of the focus on this field has centered around Tesla (TSLA) but that may be about to change. As Huang noted on stage, the next phase of AI is physical and the industry may be nearing a “ChatGPT moment” which could change the entire industry.
As Nvidia notes, “Cosmos aims to bring the power of foresight and multiverse simulation to AI models, enabling them to simulate every possible future and select optimal actions.”
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With this new platform, Nvidia will be able to accelerate its development of physical AI systems by leveraging advanced AI world foundational models (WFMs). But beyond that, these models will be openly available to the physical AI developer community.
Nvidia is advancing toward a driverless future
This progress doesn’t just have implications for humanoid robots. Huang also discussed Nvidia’s plans for using this technology to help power the future of autonomous vehicles (AVs) with the new NVIDIA DRIVE Hyperion AV platform.
Built on the NVIDIA AGX Thor system-on-a-chip (SoC), this platform is designed for generative AI models and integrates “advanced SoCs, sensors, and safety systems for next-gen vehicles.”
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Toyota (TM) recently joined the list of automakers signing up to build AVs with Nvidia’s technology.
Ali Kani, Nvidia’s vice president of automotive, said yesterday that Toyota is a great example of the company’s cloud-to-car strategy, highlighting their history of working together.
Other new AV partners for Nvidia include autonomous technology startup Aurora Innovation and automotive component supplier Continental, both of which plan to use the Nvidia Thor SoC to power self-driving trucks.
According to Huang, the field of autonomous driving is about to enter a new phase of growth, one that could change the field of transportation, “Just as computer graphics was revolutionized at such an incredible pace, you’re going to see the pace of AV development increasing tremendously over the next several years,” he states.
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