At NVIDIA GTC 2024, the RAPIDS team demonstrated new features on NVDashboard v0.10 a dashboard that runs on JupyterLab, for monitoring GPU usage to help maximize the efficiency of GPU resources. We are excited to follow that up by announcing that NVDashboard v0.10 is now available to use. This update introduces a host of improvements, including data streaming through WebSockets for…
]]>Visualization brings data to life, unveiling hidden patterns and insights through accessible visuals, and empowering you and your organization to perceive the invisible, make informed decisions, and fully leverage your data. Especially when working with large datasets, interaction can be difficult as render and compute times become prohibitive. Switching to RAPIDS libraries, such as cuDF…
]]>NVIDIA GTC21 had numerous great and engaging contents, especially around RAPIDS, so it would be easy to miss our debut presentation “Using RAPIDS to Accelerate Node.js JavaScript for Visualization and Beyond.” Yep – we are bringing the power of GPU accelerated data science to the JavaScript Node.js community with the Node-RAPIDS project. Node-RAPIDS is an open-source…
]]>TL; DR The use of Plotly’s Dash, RAPIDS, and Data shader allows users to build viz dashboards that both render datasets of 300 million+ rows and remain highly interactive without the need for precomputed aggregations. Dash is an open-source framework from Plotly for building interactive web application-based dashboards using Python. In addition, the RAPIDS suite of open-source…
]]>Geospatial analytics is an important part of real estate decisions for businesses, especially for retailers. There are many factors that go into deciding where to place a new store (demographics, competitors, traffic) and such a decision is often a significant investment. Retailers who understand these factors have an advantage over their competitors and can thrive. In this blog post…
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