Turbocharging Generative AI Workloads with NVIDIA Spectrum-X Networking Platform – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-02T18:57:57Z 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...Ethernet switches

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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