The major cloud builders and their hyperscaler brethren – in many cases, one company acts like both a cloud and a hyperscaler ...

Learn how to optimize large language models (LLMs) using TensorRT-LLM for faster and more efficient inference on NVIDIA GPUs.

Parallel vs sequential revision (source: arXiv) To determine the optimal inference-time strategy, the researchers define “test-time compute-optimal scaling strategy” as the “strategy that ...

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy ...

The market for serving up predictions from generative artificial intelligence, what's known as inference, is big business, with OpenAI reportedly on course to collect $3.4 billion in revenue this ...

Zhu, Rui and Ghosal, Subhashis 2019. Bayesian nonparametric estimation of ROC surface under verification bias. Statistics in Medicine, Vol. 38, Issue. 18, p. 3361.

They’re also more efficient since they only activate a few experts per inference — meaning they deliver results much faster than dense models of a similar size. The continued growth of LLMs is driving ...

They're also more efficient since they only activate a few experts per inference - meaning they deliver results much faster than dense models of a similar size. The continued growth of LLMs is ...

“They’re also more efficient since they only activate a few experts per inference, meaning they deliver results much faster than dense models of a similar size.” Blackwell GPUs can be operated in ...

Perceptual inference requires the integration of visual features through recurrent processing, the dynamic exchange of information between higher and lower level cortical regions. While animal ...

And according to Nvidia CEO Jensen Huang, we're now at a point where AI has become all-but-essential for next-generation ...