Peter Rizk – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2024-10-11T20:02:19Z http://www.open-lab.net/blog/feed/ Peter Rizk <![CDATA[Turbocharging Generative AI Workloads with NVIDIA Spectrum-X Networking Platform]]> http://www.open-lab.net/blog/?p=65131 2024-10-11T20:02:19Z 2023-05-29T07:00:00Z Large language models (LLMs) and AI applications such as ChatGPT and DALL-E have recently seen rapid growth. Thanks to GPUs, CPUs, DPUs, high-speed storage, and...]]>

Large language models (LLMs) and AI applications such as ChatGPT and DALL-E have recently seen rapid growth. Thanks to GPUs, CPUs, DPUs, high-speed storage, and AI-optimized software innovations, AI is now widely accessible. You can even deploy AI in the cloud or on-premises. Yet AI applications can be very taxing on the network, and this growth is burdening CPU and GPU servers…

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]]> Peter Rizk <![CDATA[Understanding the Need for Time-Sensitive Networking for Critical Applications]]> http://www.open-lab.net/blog/?p=51002 2023-06-12T09:11:55Z 2022-07-21T17:51:10Z In the old days of 10 Mbps Ethernet, long before Time-Sensitive Networking became a thing, state-of-the-art shared networks basically required that packets...]]>

In the old days of 10 Mbps Ethernet, long before Time-Sensitive Networking became a thing, state-of-the-art shared networks basically required that packets would collide. For the primitive technology of the time, this was eminently practical… computationally preferable to any solution that would require carefully managed access to the medium. After mangling each other’s data…

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