It began with video games, a paintball experiment and a bold bet that few understood. Today, Nvidia has become a company every tech giant depends on to build the future of artificial intelligence.

NVIDIA's 1999 GeForce 256 graphics card revolutionized computing by introducing parallel processing, initially for games.

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Learn how you can make money from the wave of seasoned companies innovating in AI and new AI tech companies. Artificial intelligence is everywhere, and GPU stocks are a great way to invest in the ...

Core banking modernization succeeds through phased, API-driven transformation—not risky “rip-and-replace” projects—reducing ...

Multiview isn't a feature you bolt on. It's an architecture decision that shapes which devices you can reach, how much you pay to operate at scale, and how much control your product team has over the ...

Training today’s largest neural networks is limited by backpropagation’s sequential updates and Graphics Processing Unit (GPU) bound compute and energy, slowing scaling. We demonstrate a hybrid ...

The central processing unit (CPU) – the chip technology that drove Intel’s sales and profits for decades but was overshadowed by the graphics processing unit (GPU) in the AI age – is making a comeback ...

AMD's chips are handling a growing fraction of hyperscaler workloads. That's an important validation for the company's efforts to compete with the GPU leader. Microsoft, Meta Platforms, Oracle, and ...

Your browser does not support the audio element. On Christmas Eve 2025, the AI world was rocked. Nvidia, the undisputed king of AI hardware, made its largest ...

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts. The Series C round was led by Bullhound Capital, Triatomic Capital and ...