NVIDIA GTC is the must attend AI conference for developers. It’s a place where practitioners, leaders, and innovators share their ideas about the latest trends in data science. Here are six top data science GTC sessions worth attending. Thursday, Nov 11, 5:00 AM – 5:25 AM PST Domino’s Pizza delivers thousands of pizzas a day and requires real-time planning and logistics capabilities.
]]>GPU-accelerated computing is a game-changer for data practitioners and enterprises, but leveraging GPUs can be challenging for data professionals. RAPIDS remediates these challenges by abstracting the complexities of accelerated data science through familiar interfaces. When using RAPIDS, practitioners can quickly accelerate data science workloads on NVIDIA GPUs, reducing operations like data…
]]>GTC Fall 2020 marked the second anniversary of the initial release of RAPIDS. Created out of the GPU Open Analytics Initiative (GoAi) aimed at making accelerated, end-to-end analytics on GPUs easy, RAPIDS has proven GPUs are performant, easy to use, and transformative to the future of data analytics. By thinking about the relationship between software and hardware holistically…
]]>At NVIDIA, we are driving change in data science, machine learning, and artificial intelligence. Some of the key trends that drive us are as follows: At the intersection of these trends is Dask, an open-source library designed to provide parallelism to the existing Python stack. In this post, we talk about Dask, what it is, how we use it at NVIDIA, and why it has so much potential…
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