Simon Layton – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-10T18:30:10Z http://www.open-lab.net/blog/feed/ Simon Layton <![CDATA[Introducing NVFP4 for Efficient and Accurate Low-Precision Inference]]> http://www.open-lab.net/blog/?p=102000 2025-07-10T18:30:10Z 2025-06-24T16:18:46Z To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques��such as...]]>

To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without a doubt, is quantization. This is typically due to its post-optimization task-specific accuracy performance and broad choice of supported…

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Simon Layton <![CDATA[New Optimizations To Accelerate Deep Learning Training on NVIDIA GPUs]]> http://www.open-lab.net/blog/?p=12964 2023-02-13T17:46:37Z 2018-12-03T16:00:36Z The pace of AI adoption across diverse industries depends on maximizing data scientists�� productivity. NVIDIA releases optimized NGC containers every month...]]>

The pace of AI adoption across diverse industries depends on maximizing data scientists’ productivity. NVIDIA releases optimized NGC containers every month with improved performance for deep learning frameworks and libraries, helping scientists maximize their potential. NVIDIA continuously invests in the full data science stack, including GPU architecture, systems, and software stacks.

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