This is a kind of scale-in performance that is enabled through better training algorithms and larger deep neural network datasets. But Nvidia has a scale-out play it is announcing as well. Nvidia is ...

NVIDIA’s Hopper H100 Tensor Core GPU made its first benchmarking appearance earlier this year in MLPerf Inference 2.1. No one was surprised that the H100 and its predecessor, the A100, dominated ...

In the decade since the discovery of Rowhammer, GPUhammer is the first variant to flip bits inside discrete GPUs and the ...

The GPU has a 13.8 TFLOPS computing performance that fills the need required for vigorous complex neural networks. ... so if small to medium-sized deep learning projects is what users need, ...

That’s borne out by our testing. In Geekbench 6, a general productivity benchmark, the 165,483 GPU score is only slightly ahead of what we’ve seen from RTX 4080-powered laptops.

Is your organization making hardware procurement decisions based on biased benchmark results? We’re taking a deep dive into processor issues, and exploring how new optimized libraries can cut away the ...