Nvidia on Wednesday said its Blackwell computing platform set performance records in artificial intelligence inferencing tests by MLCommons, an open engineering consortium. But Nvidia stock wavered on ...

It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on ...

A few days ago, the scores of Nvidia's upcoming RTX 5060 Ti 16GB on Geekbench leaked. The card was seen performing about 12-15% better than its predecessor, the 4060 Ti 16GB. Based on that as well as ...

In the world of artificial intelligence and machine learning, the NVIDIA GH200 Grace Hopper Superchip has made a remarkable debut. The Superchip has demonstrated exceptional performance in the MLPerf ...

Every six months, NVIDIA, Intel and Google show how much their AI training hardware and software have improved while their competitors hide in the bushes. NVIDIA is starting to see some competitive ...

TL;DR: NVIDIA tested STALKER 2 on the GeForce RTX 4090, achieving over 120FPS at 4K with DLSS 3 enabled. DLSS 3 significantly boosts performance across RTX 40 series GPUs, with the RTX 4070 jumping ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MLCommons is out today with its MLPerf 4.0 benchmarks for inference, once ...

Nvidia's general-purpose GPU chips have once again made a nearly clean sweep of one of the most popular benchmarks for measuring chip performance in artificial intelligence, this time with a new focus ...

An Nvidia GeForce RTX 5080 benchmark leak has appeared online, just days ahead of the expected launch date for the new gaming GPU. Data from the leak suggests that while the RTX 5080 might not beat ...

A new Nvidia GeForce RTX 5060 Ti benchmark has appeared online, and it not only gives an indication of the performance of the new gaming GPU, but also appears to confirm a couple of key specs. An ...

Chip giant Nvidia has long dominated what's known as the "training" of neural networks, the compute-intensive task of fashioning and refashioning the neural "weights," or, "parameters," of the network ...