Hyperscale – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-23T19:27:29Z http://www.open-lab.net/blog/feed/ Taylor Allison <![CDATA[Cooking Up New Network Models with NVIDIA Linux Switch]]> http://www.open-lab.net/blog/?p=41083 2023-03-22T01:16:45Z 2021-11-11T01:03:21Z Picture this: you��re having dinner at an upscale restaurant. You look at the menu and decide that you��re in the mood for a filet. You order the steak medium...]]> Picture this: you��re having dinner at an upscale restaurant. You look at the menu and decide that you��re in the mood for a filet. You order the steak medium...

Picture this: you��re having dinner at an upscale restaurant. You look at the menu and decide that you��re in the mood for a filet. You order the steak medium rare. The waiter brings it out, it��s plated beautifully, and the service is great. Yet you hear a little voice in the back of your head. ��I could have prepared this steak in my own kitchen exactly to my definition of medium rare!

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Vinh Nguyen <![CDATA[MLPerf v1.0 Training Benchmarks: Insights into a Record-Setting NVIDIA Performance]]> http://www.open-lab.net/blog/?p=33929 2023-07-05T19:31:00Z 2021-06-30T17:00:00Z MLPerf is an industry-wide AI consortium tasked with developing a suite of performance benchmarks that cover a range of leading AI workloads widely in use. The...]]> MLPerf is an industry-wide AI consortium tasked with developing a suite of performance benchmarks that cover a range of leading AI workloads widely in use. The...

MLPerf is an industry-wide AI consortium tasked with developing a suite of performance benchmarks that cover a range of leading AI workloads widely in use. The latest MLPerf v1.0 training round includes vision, language and recommender systems, and reinforcement learning tasks. It is continually evolving to reflect the state-of-the-art AI applications. NVIDIA submitted MLPerf v1.0��

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Mark Harris <![CDATA[New Pascal GPUs Accelerate Inference in the Data Center]]> http://www.open-lab.net/blog/parallelforall/?p=7156 2022-08-21T23:37:57Z 2016-09-13T03:01:32Z Artificial intelligence is already more ubiquitous than many people realize. Applications of AI abound, many of them powered by complex deep neural networks...]]> Artificial intelligence is already more ubiquitous than many people realize. Applications of AI abound, many of them powered by complex deep neural networks...

Artificial intelligence is already more ubiquitous than many people realize. Applications of AI abound, many of them powered by complex deep neural networks trained on massive data using GPUs. These applications understand when you talk to them; they can answer questions; and they can help you find information in ways you couldn��t before. Pinterest image search technology allows users to find��

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Mark Harris <![CDATA[Accelerating Hyperscale Data Center Applications with NVIDIA M40 and M4 GPUs]]> http://www.open-lab.net/blog/parallelforall/?p=6092 2023-09-18T17:40:03Z 2015-11-10T14:02:16Z The internet has changed how people consume media. Rather than just watching television and movies, the combination of ubiquitous mobile devices, massive...]]> The internet has changed how people consume media. Rather than just watching television and movies, the combination of ubiquitous mobile devices, massive...

The internet has changed how people consume media. Rather than just watching television and movies, the combination of ubiquitous mobile devices, massive computation, and available Internet bandwidth has led to an explosion in user-created content: users are re-creating the Internet, producing exabytes of content every day. Periscope, a mobile application that lets users broadcast video��

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