While “graphics” is in the name, this GPU design aims to provide a general-purpose computing peripheral, a GPGPU testbed. Of course, that doesn’t mean that you can’t play Quake (slowly ...

Currently, we estimate that Nvidia accounts for roughly 25% of the entire data center segment. Our view is that Nvidia will retain that leading share throughout the forecast period — assuming it ...

ECUs that are designed today need to have the performance and flexibility to run the workloads of the next decade.

In reality, Nvidia continues to stay relevant because quantum computing isn’t simply about replacing the chip on your laptop. Traditional laptops using CPUs and GPUs continue to be more efficient for ...

Alongside GPUs and central processing units are data processing units, or DPUs. “The CPU is for general-purpose computing, the GPU is for accelerated computing, and the DPU, which moves data around ...

He added that just as India leapfrogged to mobile technology, the country should also shift faster to accelerated computing ...

the GPUs tuned for general-purpose computing, the network components to tie them together and the software to develop and manage GPU-accelerated applications. “The generative AI era is upon us.

Traditional laptops using CPUs and GPUs continue to be more efficient for general-purpose computing. So how does Nvidia then benefit from the quantum computing revolution? Here are three ways ...