Inspur Information AI Servers with NVIDIA A100 Tensor Core GPUs Maintain Top Ranking in Single-Node Performance in MLPerf Training v2.0 Global AI Benchmarks Leading performance with the BERT model ...
Although chip giant Nvidia tends to cast a long shadow over the world of artificial intelligence, its ability to simply drive competition out of the market may be increasing, if the latest benchmark ...
NVIDIA is thumping its chest over a round of impressive benchmark runs that highlight the potency of mixing its A100 accelerators with either Arm or x86 hardware. Regardless of the CPU platform, ...
In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released MLPerf V2.1 benchmark suite. The A100 ...
Morning Overview on MSN
China’s optical AI chip claims 100x A100 speed, is Nvidia exposed?
China’s latest optical AI chip is being pitched as a generational leap, with researchers claiming performance roughly 100 ...
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 every ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia released results today against new MLPerf industry-standard ...
The latest benchmark tests of chip speed in training neural networks was released on Tuesday by the MLCommons, an industry consortium. As in past years, Nvidia scored top marks across the board in the ...
After unveiling its second generation Habana Gaudi2 AI processor last month with some preliminary performance figures, Intel has followed suit with internally run benchmarks showing its fancy ...
Nvidia has launched its 80GB version of the A100 graphics processing unit (GPU), targeting the graphics and AI chip at supercomputing applications. The chip is based on the company's Ampere graphics ...
Depending on the hardware you're using, training a large language model of any significant size can take weeks, months, even years to complete. That's no way to do business — nobody has the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results