Nvidia GPUs For Data Science, Analytics, And Distributed Machine Learning Using Python With Dask

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event this week, Nvidia made a number of related points, aiming to build on machine learning and extend to data science and analytics. 

Nvidia wants to "couple software and hardware to deliver the advances in computing power needed to transform data into insights and intelligence." Jensen Huang, Nvidia CEO, emphasized the collaborative aspect between chip architecture, systems, algorithms and applications.Therefore, Nvidia is focused on building a GPU developer ecosystem. According to Huang, the GPU developer ecosystem is growing fast: the number of developers has grown to more than 1.2 million from 800,000 last year. And what can you build a developer ecosystem on? Open source software. READ MORE ON: ZDNET

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DataYusra Hamid