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RAPIDS is the system for issuing and managing ID cards for the US Department of Defense. You can update your CAC, request or renew family ID cards, find a RAPIDS office, and more.
RAPIDS is an open source project that provides fast and familiar APIs for data science and machine learning on GPUs. Learn how to install, use, and try out RAPIDS libraries like cuDF, cuML, and cuGraph with cloud or local hardware.
RAPIDS™, part of NVIDIA CUDA-X, is an open-source suite of GPU-accelerated data science and AI libraries with APIs that match the most popular open-source data tools. It accelerates performance by orders of magnitude at scale across data pipelines. Get Started. An optimized hardware-to-software stack for the entire data science pipeline.
RAPIDS is a project that provides a unified software stack for data science and AI on GPUs. Learn how to install, use, and deploy RAPIDS with user guides, API documentation, and more.
RAPIDS is a set of Python libraries that leverage NVIDIA GPUs to speed up data science and analytics workflows. Learn how to use RAPIDS for data processing, time series analysis, machine learning, graph analytics, and more.
RAPIDS is a collection of open source software libraries and APIs that enable data science and analytics pipelines on NVIDIA GPUs using PyData APIs. Learn about RAPIDS use cases, projects, research, and how to get involved with NVIDIA AI Enterprise.
17 de jul. de 2019 · RAPIDS is an open-source ecosystem of GPU accelerated libraries for doing ETL, Machine Learning, and Graph Analytics. In this video tutorial, we’ll explain what RAPIDS is and show at a high ...
