The GPU made its debut at CES alongside five other data center chips. Customers can deploy them together in a rack called the Vera Rubin NVL72 that Nvidia says ships with 220 trillion transistors, more bandwidth than the entire internet and real-time component health checks.

In 2025, the world’s leader in advanced chip fabrication, Taiwan Semiconductor Manufacturing (NYSE: TSM), had another standout year. Overall, shares delivered a total return of 55%. This marked

At the annual CES (Consumer Technology Association) event in Las Vegas, Nvidia founder and CEO Jensen Huang unveiled a supercomputer based on its next-generation AI processor, Rubin. The processor combines with five other chips with an Israeli connection - its new core processor Vera,

Huang is being recognized for a lifetime of visionary leadership and pioneering work in accelerated computing, which has propelled NVIDIA to the forefront of technological innovation. This joins Huang's other recent honors including the Queen Elizabeth Prize for Engineering,

Today, Nvidia’s revenues are dominated by hardware sales. But when the AI bubble inevitably pops, the GPU giant will become the single most important software company in the world. Since ChatGPT kicked off the AI arms race in late 2022, Nvidia has shipped millions of GPUs predominantly for use in AI training and inference.

Lisa Su, CEO of AMD, unveiled the new graphics processing unit (GPU) Instinct MI455X at CES 2026. On January 5 (local time), at CES 2026 in Las Vegas,

Wall Street and AI enthusiasts alike are eyeing as a potential catalyst event for Nvidia’s (NVDA) next chapter. After an explosive run that briefly made Nvidia the first company in the world to surpass a $5 trillion market cap,

NVIDIA Corporation (NASDAQ:NVDA) is among the Best Performing Quantum Computing Stocks in 2025. On December 24, CNBC reported that NVIDIA Corporation (NASDAQ:NVDA) will be making its largest purchase ever from a startup called Groq.

Nvidia’s new lineup of open-source AI models is headlined by Alpamayo 1 (pictured), a so-called VLA, or vision-language-action, algorithm with 10 billion parameters. It can use footage from an autonomous vehicle’s cameras to generate driving trajectories.