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

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

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

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 ...

Using AI inferences to sensitive questions based on limited data within the mortgage industry could easily result in fair ...

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 ...

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 ...

In patent law, claims define the scope of an invention and determine the extent of the patent protection granted. Among ...

“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 ...