Lots Of Other People’ What To Expect RTX 5000 Series GPU: Nvidia is expected to unveil its next-generation RTX 5000 series GPUs. These GPUs could redefine gaming and creative workflows with even ...

Anyone can run the benchmarks and see it’s stupid fast, and you can even compare it to a last-gen GPU like the RTX 3090 to ... the RTX 4070 Ti for $100 cheaper — we also saw Nvidia’s Super ...

Finally, it looks as though the mobile RTX 5070 Ti will come with 12GB of VRAM, down from the 16GB rumored to be attached to the desktop version. Similar to how Nvidia handled the launch of the ...

"GN22" relates to Nvidia Blackwell GPUs, while "X11" means the type of GPU. So, "GN22-X11" is an RTX 5090 laptop GPU, "GN22-X9" means RTX 5080, "GN22-X7" is expected to be an RTX 5070 Ti and so forth.

Thanks to recent developments, we can have a good look at the first wave of Blackwell-based Nvidia ... the RTX 5090, the 5090D (China-only variant), the 5080, the 5070 Ti, and the 5070.

At long last, the RTX 3090 Ti officially launches today and Dominic is checking out the MSI Suprim X and Palit GameRock OC models. Just how much faster is this new GPU compared to the RTX 3090 though?

Just ahead of that though, we already know that Nvidia has penciled in its keynote for the 6th, and it could be when it announces the RTX 50 series. And now, the hype is ramping up as Nvidia announces ...

In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...

Nvidia has updated the Jetson Orin Nano developer ... The latter was also used in the GeForce RTX 3000 series. 32 Tensor cores handle the matrix calculations for AI algorithms.

There is an active debate about Nvidia's competitive moat. Some say there's a prevailing perception of a 'safe' choice when investing billions in a technology, in which the return is still uncertain.

Custom chips are picking up speed The biggest players in artificial intelligence buy a lot of chips from Nvidia, the $3 trillion giant with an estimated 90% of the market share of advanced AI chips.