[{"title":"Merlin Tensorflow Inference","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow-inference","technologies":["Merlin"],"document_date":"2025-11-06T19:13:22.000Z","short_summary":"Deploy NVTabular workflows and TensorFlow recommender models to Triton Inference Server for production.","document_title":"Merlin Tensorflow Inference","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Merlin Tensorflow Training","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow-training","technologies":["Merlin"],"document_date":"2025-11-06T19:13:23.000Z","short_summary":"Reference the Merlin container to preprocess with NVTabular and train TensorFlow recommender models.","document_title":"Merlin Tensorflow Training","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NVIDIA Morpheus PB May 2024 (PB 24h1)","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/containers/morpheus-pb24h1","technologies":["Morpheus"],"document_date":"2025-11-06T15:50:36.000Z","short_summary":"Reference Morpheus Production Branch 24h1 for API-stable cybersecurity deployments with monthly security patches.","document_title":"NVIDIA Morpheus PB May 2024 (PB 24h1)","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Merlin PyTorch Inference","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch-inference","technologies":["Merlin"],"document_date":"2025-11-06T19:13:20.000Z","short_summary":"Deploy NVTabular workflows and PyTorch recommender models to Triton Inference Server for production.","document_title":"Merlin PyTorch Inference","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Merlin PyTorch Training","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch-training","technologies":["Merlin"],"document_date":"2025-11-06T19:13:21.000Z","short_summary":"Reference the Merlin container to preprocess data with NVTabular and train PyTorch recommender models.","document_title":"Merlin PyTorch Training","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"MLflow Triton Plugin","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/mlflow-triton-plugin","technologies":["Morpheus"],"document_date":"2026-01-21T16:17:09.000Z","short_summary":"Reference the MLflow Triton plugin to deploy MLflow-registered models to Triton Inference Server.","document_title":"MLflow Triton Plugin","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Merlin TensorFlow","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow","technologies":["Merlin"],"document_date":"2025-12-11T19:37:21.000Z","short_summary":"Reference the Merlin TensorFlow container for preprocessing, training, and serving recommender models.","document_title":"Merlin TensorFlow","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Merlin PyTorch","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch","technologies":["Merlin"],"document_date":"2025-12-11T19:36:16.000Z","short_summary":"Reference the Merlin container to train PyTorch recommenders with NVTabular and serve via Triton.","document_title":"Merlin PyTorch","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Merlin HugeCTR","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr","technologies":["Merlin"],"document_date":"2025-12-11T19:35:39.000Z","short_summary":"Preprocess data, engineer features, and train large-scale recommender models with Merlin HugeCTR.","document_title":"Merlin HugeCTR","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Morpheus","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus","technologies":["Morpheus"],"document_date":"2026-01-21T17:13:07.000Z","short_summary":"Reference Morpheus, an open AI application framework for building cybersecurity solutions.","document_title":"Morpheus","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"cuOpt","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cuopt/containers/cuopt","technologies":["cuOpt"],"document_date":"2026-02-12T00:16:34.000Z","short_summary":"Reference the cuOpt container to run GPU-accelerated decision optimization at million-variable scale.","document_title":"cuOpt","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Accelerate Decision Optimization Using Open Source NVIDIA cuOpt","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/accelerate-decision-optimization-using-open-source-nvidia-cuopt/","technologies":["cuOpt"],"document_date":"2025-06-11T04:00:00.000Z","short_summary":"Explore how open-source NVIDIA cuOpt accelerates large-scale decision optimization across production, logistics, and allocation.","document_title":"Accelerate Decision Optimization Using Open Source NVIDIA cuOpt","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"Enhance Generative AI Model Accuracy Through Data Processing","featured":false,"x_formats":["webpage"],"document_url":"https://www.nvidia.com/en-us/events/enhance-generative-ai-model-accuracy/","technologies":["NeMo"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Learn how NeMo Curator builds scalable pipelines creating high-quality multimodal datasets for generative AI.","document_title":"Enhance Generative AI Model Accuracy Through Data Processing","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NIM Agent Blueprint for Vulnerability Analysis","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus-vuln-analysis","technologies":["Morpheus"],"document_date":"2026-01-21T16:17:11.000Z","short_summary":"Deploy the Morpheus NIM Agent Blueprint to accelerate container vulnerability detection with generative AI.","document_title":"NIM Agent Blueprint for Vulnerability Analysis","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Morpheus Triton Server Models","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/containers/morpheus-tritonserver-models","technologies":["Morpheus"],"document_date":"2026-01-21T16:17:07.000Z","short_summary":"Reference pretrained Morpheus cybersecurity models packaged on Triton Inference Server for rapid deployment.","document_title":"Morpheus Triton Server Models","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NVIDIA Morpheus PB October 2024 (PB 24h2)","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/containers/morpheus-pb24h2","technologies":["Morpheus"],"document_date":"2025-11-06T15:50:36.000Z","short_summary":"Reference Morpheus Production Branch 24h2 for API-stable cybersecurity deployments with monthly security patches.","document_title":"NVIDIA Morpheus PB October 2024 (PB 24h2)","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NVIDIA Retrieval QA E5 Embedding Model","featured":false,"x_formats":["hands-on"],"document_url":"https://build.nvidia.com/nvidia/nv-embedqa-e5-v5","technologies":["NeMo Retriever"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Experience an English text embedding model optimized for question-answering retrieval.","document_title":"NVIDIA Retrieval QA E5 Embedding Model","learning_level":"Technical - Beginner","x_content_types":["Demo"]},{"title":"Merlin Training","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-training","technologies":["Merlin"],"document_date":"2025-11-06T19:13:24.000Z","short_summary":"Reference the Merlin container to preprocess with NVTabular and train HugeCTR recommender models.","document_title":"Merlin Training","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"cuOpt","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/collections/cuopt","technologies":["cuOpt"],"document_date":"2026-01-26T17:11:17.000Z","short_summary":"Consult the cuOpt collection to access GPU-accelerated decision optimization resources and containers.","document_title":"cuOpt","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NVIDIA NIMs for Retrieval","featured":false,"x_formats":["hands-on"],"document_url":"https://build.nvidia.com/explore/retrieval","technologies":["NIM"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Experience NVIDIA retrieval NIMs to connect LLMs with proprietary enterprise data.","document_title":"NVIDIA NIMs for Retrieval","learning_level":"Technical - Beginner","x_content_types":["Demo"]},{"title":"NVIDIA cuOpt on GitHub","featured":false,"x_formats":["code"],"document_url":"https://github.com/NVIDIA/cuopt","technologies":["cuOpt"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Study and fork cuOpt to accelerate LP, MIP, and VRP optimization on GPUs.","document_title":"NVIDIA cuOpt on GitHub","learning_level":"Technical - Intermediate","x_content_types":["Samples"]},{"title":"Solve Linear Programs Using the GPU-Accelerated Barrier Method in NVIDIA cuOpt","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/solve-linear-programs-using-the-gpu-accelerated-barrier-method-in-nvidia-cuopt/","technologies":["cuOpt"],"document_date":"2025-10-24T09:00:00.000Z","short_summary":"Explore how cuOpt's GPU-accelerated barrier method solves large-scale linear programming problems efficiently.","document_title":"Solve Linear Programs Using the GPU-Accelerated Barrier Method in NVIDIA cuOpt","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"Develop Text Retrieval Pipelines for RAG","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/develop-production-grade-text-retrieval-pipelines-for-rag-with-nvidia-nemo-retriever","technologies":["NeMo Retriever"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Learn how to build production-grade text retrieval pipelines for RAG using NeMo Retriever NIMs.","document_title":"Develop Text Retrieval Pipelines for RAG","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"NVIDIA Retrieval QA Mistral 4B Reranking Model","featured":false,"x_formats":["hands-on"],"document_url":"https://build.nvidia.com/nvidia/nv-rerankqa-mistral-4b-v3/modelcard","technologies":["NeMo Retriever"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Reference a Mistral 4B reranker that scores document relevance to QA queries.","document_title":"NVIDIA Retrieval QA Mistral 4B Reranking Model","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NVIDIA Retrieval QA Mistral 7B Embedding Model","featured":false,"x_formats":["hands-on"],"document_url":"https://build.nvidia.com/nvidia/nv-embedqa-mistral-7b-v2","technologies":["NeMo Retriever"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Experience a multilingual embedding model that transforms text into dense vectors for QA retrieval.","document_title":"NVIDIA Retrieval QA Mistral 7B Embedding Model","learning_level":"Technical - Beginner","x_content_types":["Demo"]},{"title":"NVIDIA NIM for Retrieval Documentation","featured":false,"x_formats":["webpage"],"document_url":"https://docs.nvidia.com/nim/index.html#nemo-retriever","technologies":["NeMo Retriever","NIM"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Build retrieval pipelines with NeMo Retriever NIM microservices for text embedding and reranking.","document_title":"NVIDIA NIM for Retrieval Documentation","learning_level":"Technical - Intermediate","x_content_types":["Tutorial"]},{"title":"NVIDIA Morpheus PB May 2025 (PB 25h1)","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/containers/morpheus-pb25h1","technologies":["Morpheus"],"document_date":"2025-11-25T18:41:12.000Z","short_summary":"Deploy the Morpheus Production Branch container offering nine-month API stability for enterprise cybersecurity.","document_title":"NVIDIA Morpheus PB May 2025 (PB 25h1)","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Use a Route Optimization Cloud Service","featured":false,"x_formats":["video"],"document_url":"https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit62051/","technologies":["cuOpt"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Learn how to use the cuOpt cloud service to optimize heterogeneous-fleet vehicle routing.","document_title":"Use a Route Optimization Cloud Service","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Snowflake Arctic Embedding Models","featured":false,"x_formats":["hands-on"],"document_url":"https://build.nvidia.com/snowflake/arctic-embed-l","technologies":["NeMo Retriever"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Experience Snowflake Arctic Embed L, an optimized text embedding model delivering high-quality retrieval performance.","document_title":"Snowflake Arctic Embedding Models","learning_level":"Technical - Beginner","x_content_types":["Demo"]},{"title":"Cybersecurity Developer Day","featured":false,"x_formats":["video"],"document_url":"https://www.nvidia.com/en-us/on-demand/session/gtc24-se62821/","technologies":["Morpheus"],"document_date":"2026-02-17T10:08:39.000Z","short_summary":"Learn how LLMs, generative AI, RAG, and ML address modern cybersecurity challenges with Morpheus.","document_title":"Cybersecurity Developer Day","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"NV-Embed Model","featured":false,"x_formats":["hands-on"],"document_url":"https://build.nvidia.com/nvidia/nv-embed-v1/modelcard","technologies":["NeMo Retriever"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Reference NV-Embed, a generalist embedding model excelling across retrieval, reranking, classification, and clustering tasks.","document_title":"NV-Embed Model","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Learn How NVIDIA cuOpt Accelerates Mixed Integer Optimization using Primal Heuristics","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/learn-how-nvidia-cuopt-accelerates-mixed-integer-optimization-using-primal-heuristics/","technologies":["cuOpt"],"document_date":"2026-01-13T12:32:44.000Z","short_summary":"Examine how NVIDIA cuOpt uses GPU primal heuristics to accelerate mixed-integer optimization.","document_title":"Learn How NVIDIA cuOpt Accelerates Mixed Integer Optimization using Primal Heuristics","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"NIM Agent Blueprint for Vulnerability Analysis","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/morpheus/collections/vulnerability_analysis","technologies":["Morpheus"],"document_date":"2025-03-14T06:27:57.000Z","short_summary":"Accelerate container vulnerability triage using the Morpheus NIM Agent Blueprint for security analysis.","document_title":"NIM Agent Blueprint for Vulnerability Analysis","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Retriever Benchmark Tool","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/eval-tool-benchmark-retriever","technologies":["NeMo Retriever"],"document_date":"2025-11-06T14:16:18.000Z","short_summary":"Reference the NeMo evaluation benchmark container to measure retrieval system performance.","document_title":"Retriever Benchmark Tool","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"NVIDIA Retriever and RAG Eval","featured":false,"x_formats":["webpage"],"document_url":"https://catalog.ngc.nvidia.com/orgs/nvidia/teams/eval-factory/containers/rag_retriever_eval","technologies":["NeMo Retriever"],"document_date":"2026-02-02T18:08:11.000Z","short_summary":"Reference the NeMo Evaluator container to benchmark retriever and RAG pipelines.","document_title":"NVIDIA Retriever and RAG Eval","learning_level":"Technical - Beginner","x_content_types":["Documentation"]},{"title":"Generative AI Examples","featured":false,"x_formats":["code"],"document_url":"https://github.com/NVIDIA/GenerativeAIExamples","technologies":["Dynamo","TensorRT","Triton Inference Server"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Fork generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.","document_title":"Generative AI Examples","learning_level":"Technical - Intermediate","x_content_types":["Samples"]},{"title":"Talk to Your Supply Chain Data Using NIM","featured":false,"x_formats":["video"],"document_url":"https://www.youtube.com/watch?v=a9O0JipIrb4","technologies":["cuOpt"],"document_date":"2026-02-17T10:08:38.000Z","short_summary":"Examine how NVIDIA accelerates supply chain decision-making using GPU-powered optimization.","document_title":"Talk to Your Supply Chain Data Using NIM","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"NVIDIA cuOpt on Microsoft Azure Marketplace","featured":false,"x_formats":["video"],"document_url":"https://www.youtube.com/watch?v=W7-jMYp58rc","technologies":["cuOpt"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Deploy NVIDIA cuOpt from the Microsoft Azure Marketplace in three straightforward steps.","document_title":"NVIDIA cuOpt on Microsoft Azure Marketplace","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Getting Started with Morpheus","featured":false,"x_formats":["webpage"],"document_url":"https://docs.nvidia.com/morpheus/getting_started.html","technologies":["Morpheus"],"document_date":"2026-02-17T10:08:39.000Z","short_summary":"Implement real-time AI cybersecurity pipelines by installing, configuring, and running Morpheus end-to-end.","document_title":"Getting Started with Morpheus","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Optimized Vehicle Routing","featured":false,"x_formats":["course"],"document_url":"https://courses.nvidia.com/courses/course-v1:DLI+T-FX-05+V1/","technologies":["cuOpt"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Practice preprocessing routing data and composing cuOpt problem variants in this DLI course.","document_title":"Optimized Vehicle Routing","learning_level":"Technical - Intermediate","x_content_types":["Tutorial"]},{"title":"NVIDIA cuOpt on AWS Marketplace","featured":false,"x_formats":["video"],"document_url":"https://www.youtube.com/watch?v=qAyQZmhpEgg","technologies":["cuOpt"],"document_date":"2026-02-17T10:12:00.000Z","short_summary":"Practice launching NVIDIA cuOpt from AWS Marketplace in three steps using the prebuilt VMI.","document_title":"NVIDIA cuOpt on AWS Marketplace","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"SDS 885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp - SuperDataScience | Machine Learning | AI | Data Science Career | Analytics | Success","featured":false,"x_formats":["webpage"],"document_url":"https://superdatascience.com/podcast/sds-885-python-polars-the-definitive-guide-with-jeroen-janssens-and-thijs-nieuwdorp","technologies":["cuDF"],"document_date":"2025-05-06T00:00:00.000Z","short_summary":"Learn how Python Polars cuts memory and compute up to 10x versus pandas.","document_title":"SDS 885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp - SuperDataScience | Machine Learning | AI | Data Science Career | Analytics | Success","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget - Software Engineering Daily","featured":false,"x_formats":["webpage"],"document_url":"https://softwareengineeringdaily.com/2025/03/04/nvidia-rapids-and-open-source-ml-acceleration-with-chris-deotte-and-jean-francois-puget","technologies":["cuML"],"document_date":"2025-03-04T10:00:39.000Z","short_summary":"Learn how RAPIDS accelerates open-source machine learning across pandas, Polars, scikit-learn, and NetworkX.","document_title":"NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget - Software Engineering Daily","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Episode #516 - Accelerating Python Data Science at NVIDIA | Talk Python To Me Podcast","featured":false,"x_formats":["webpage"],"document_url":"https://talkpython.fm/episodes/show/516/accelerating-python-data-science-at-nvidia","technologies":["cuDF","cuGraph","cuML"],"document_date":"2025-08-19T04:00:00.000Z","short_summary":"Learn how RAPIDS delivers GPU acceleration for pandas, scikit-learn, Polars, and NetworkX workflows.","document_title":"Episode #516 - Accelerating Python Data Science at NVIDIA | Talk Python To Me Podcast","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"Supercharging Machine Learning in Snowflake with NVIDIA CUDA-X Libraries for Scikit-learn and Pandas","featured":false,"x_formats":["blog"],"document_url":"https://snowflake.com/en/blog/nvidia-gpu-acceleration","technologies":["cuDF","cuML"],"document_date":"2025-11-17T23:47:18.000Z","short_summary":"Explore how Snowflake integrates NVIDIA GPU acceleration to speed up data science workloads.","document_title":"Supercharging Machine Learning in Snowflake with NVIDIA CUDA-X Libraries for Scikit-learn and Pandas","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"Mapping Drug Response Cascades with a Causal Gene Regulatory Network at 100M-Cell Scale","featured":false,"x_formats":["blog"],"document_url":"https://blog.tahoebio.ai/p/mapping-drug-response-cascades-with","technologies":["cuML"],"document_date":"2026-03-16T20:46:10.000Z","short_summary":"Explore GPU-accelerated causal gene regulatory networks that map drug response at 100M-cell scale.","document_title":"Mapping Drug Response Cascades with a Causal Gene Regulatory Network at 100M-Cell Scale","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Episode #509 - GPU Programming in Pure Python | Talk Python To Me Podcast","featured":false,"x_formats":["webpage"],"document_url":"https://talkpython.fm/episodes/show/509/gpu-programming-in-pure-python","technologies":["cuDF"],"document_date":"2025-06-11T04:00:00.000Z","short_summary":"Explore how Python SDKs deliver near-native GPU performance for data science and ML workloads.","document_title":"Episode #509 - GPU Programming in Pure Python | Talk Python To Me Podcast","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"#286 Data Science Trends From 2 Kaggle Grandmasters","featured":false,"x_formats":["webpage"],"document_url":"https://datacamp.com/podcast/data-science-trends-from-2-kaggle-grandmasters","technologies":["cuML"],"document_date":"2025-02-24T05:00:00.000Z","short_summary":"Examine AI agents, GPU acceleration, and competitive trends reshaping modern data science practice.","document_title":"#286 Data Science Trends From 2 Kaggle Grandmasters","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"GraphGeeks In Discussion: RAPIDS and cuGraph with NVIDIA's Joe Eaton","featured":false,"x_formats":["video"],"document_url":"https://youtube.com/watch?v=kNrkHWjZaeM","technologies":["cuGraph"],"document_date":"2025-03-03T05:00:00.000Z","short_summary":"Explore how RAPIDS and cuGraph accelerate graph analytics on GPUs for scalable data science.","document_title":"GraphGeeks In Discussion: RAPIDS and cuGraph with NVIDIA's Joe Eaton","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"#304 Accelerating Data Science with Nick Becker \u0026 Dan Hannah","featured":false,"x_formats":["webpage"],"document_url":"https://datacamp.com/podcast/accelerating-data-science","technologies":["cuML"],"document_date":"2025-07-01T04:00:00.000Z","short_summary":"Examine GPU-accelerated data science applied to battery discovery and materials research.","document_title":"#304 Accelerating Data Science with Nick Becker \u0026 Dan Hannah","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Polars — GPU acceleration with Polars and NVIDIA RAPIDS","featured":false,"x_formats":["blog"],"document_url":"https://pola.rs/posts/gpu-engine-release","technologies":["cuDF"],"document_date":"2025-01-01T05:00:00.000Z","short_summary":"Explore how the Polars GPU engine uses RAPIDS to accelerate DataFrame queries.","document_title":"Polars — GPU acceleration with Polars and NVIDIA RAPIDS","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"Accelerating the Future of Transportation with SES AI’s NVIDIA-Powered Innovation for Electric Vehicles","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/accelerating-the-future-of-transportation-with-ses-ais-nvidia-powered-innovation-for-electric-vehicles","technologies":["cuML"],"document_date":"2025-03-25T13:00:00.000Z","short_summary":"Examine how SES AI uses NVIDIA accelerated computing to improve EV battery cost and range.","document_title":"Accelerating the Future of Transportation with SES AI’s NVIDIA-Powered Innovation for Electric Vehicles","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"Spotlight: Accelerating the Discovery of New Battery Materials with SES AI’s Molecular Universe","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/spotlight-accelerating-the-discovery-of-new-battery-materials-with-ses-ais-molecular-universe","technologies":["cuML"],"document_date":"2025-05-08T12:00:00.000Z","short_summary":"Survey how GPU-accelerated ML speeds discovery of new battery materials via SES AI's Molecular Universe.","document_title":"Spotlight: Accelerating the Discovery of New Battery Materials with SES AI’s Molecular Universe","learning_level":"Technical - Beginner","x_content_types":["Overview"]},{"title":"Train with Terabyte-Scale Datasets on a Single NVIDIA Grace Hopper Superchip Using XGBoost 3.0","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/train-with-terabyte-scale-datasets-on-a-single-nvidia-grace-hopper-superchip-using-xgboost-3-0","technologies":["cuML"],"document_date":"2025-08-07T15:25:36.000Z","short_summary":"Analyze how XGBoost 3.0 trains terabyte-scale gradient-boosted trees on a single Grace Hopper Superchip.","document_title":"Train with Terabyte-Scale Datasets on a Single NVIDIA Grace Hopper Superchip Using XGBoost 3.0","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"Supercharging Fraud Detection in Financial Services with Graph Neural Networks (Updated)","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/supercharging-fraud-detection-in-financial-services-with-graph-neural-networks","technologies":["cuGraph","cuML","Morpheus"],"document_date":"2025-06-03T03:00:00.000Z","short_summary":"Examine how graph neural networks supercharge fraud detection pipelines in financial services.","document_title":"Supercharging Fraud Detection in Financial Services with Graph Neural Networks (Updated)","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/using-networkx-jaccard-similarity-and-cugraph-to-predict-your-next-favorite-movie","technologies":["cuGraph"],"document_date":"2025-02-13T14:00:00.000Z","short_summary":"Learn how to predict movie recommendations using NetworkX Jaccard similarity accelerated by cuGraph.","document_title":"Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Supercharge Tree-Based Model Inference with Forest Inference Library in NVIDIA cuML","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/supercharge-tree-based-model-inference-with-forest-inference-library-in-nvidia-cuml","technologies":["cuML"],"document_date":"2025-06-05T12:00:00.000Z","short_summary":"Learn how cuML Forest Inference Library accelerates tree-ensemble model predictions on GPUs.","document_title":"Supercharge Tree-Based Model Inference with Forest Inference Library in NVIDIA cuML","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Stacking Generalization with HPO: Maximize Accuracy in 15 Minutes with NVIDIA cuML","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/stacking-generalization-with-hpo-maximize-accuracy-in-15-minutes-with-nvidia-cuml","technologies":["cuML"],"document_date":"2025-05-01T15:35:18.000Z","short_summary":"Learn how to maximize model accuracy using stacking generalization and HPO with cuML.","document_title":"Stacking Generalization with HPO: Maximize Accuracy in 15 Minutes with NVIDIA cuML","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Kaggle Grandmasters Unveil Winning Strategies for Data Science Superpowers","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/kaggle-grandmasters-unveil-winning-strategies-for-data-science-superpowers","technologies":["cuDF","cuML"],"document_date":"2025-04-29T14:22:59.000Z","short_summary":"Learn winning data science strategies and GPU acceleration tactics from NVIDIA Kaggle Grandmasters.","document_title":"Kaggle Grandmasters Unveil Winning Strategies for Data Science Superpowers","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Building an Interactive AI Agent for Lightning-Fast Machine Learning Tasks","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/building-an-interactive-ai-agent-for-lightning-fast-machine-learning-tasks","technologies":["cuML"],"document_date":"2025-11-07T14:44:52.000Z","short_summary":"Build an interactive AI agent that automates data cleaning and speeds up machine learning tasks.","document_title":"Building an Interactive AI Agent for Lightning-Fast Machine Learning Tasks","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Training XGBoost Models with GPU-Accelerated Polars DataFrames","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/training-xgboost-models-with-gpu-accelerated-polars-dataframes","technologies":["cuDF"],"document_date":"2025-11-10T16:30:00.000Z","short_summary":"Learn how to train XGBoost models using GPU-accelerated Polars DataFrames through cuDF interoperability.","document_title":"Training XGBoost Models with GPU-Accelerated Polars DataFrames","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Grandmaster Pro Tip: Winning First Place in Kaggle Competition with Feature Engineering Using cuDF pandas","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/grandmaster-pro-tip-winning-first-place-in-kaggle-competition-with-feature-engineering-using-nvidia-cudf-pandas","technologies":["cuDF","cuML"],"document_date":"2025-04-17T20:03:20.000Z","short_summary":"Learn winning feature engineering techniques for tabular Kaggle competitions using cuDF pandas.","document_title":"Grandmaster Pro Tip: Winning First Place in Kaggle Competition with Feature Engineering Using cuDF pandas","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Grandmaster Pro Tip: Winning First Place in a Kaggle Competition with Stacking Using cuML","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/grandmaster-pro-tip-winning-first-place-in-a-kaggle-competition-with-stacking-using-cuml","technologies":["cuML"],"document_date":"2025-05-22T13:30:00.000Z","short_summary":"Learn how stacking ensembles with cuML won a 2025 Kaggle Playground competition.","document_title":"Grandmaster Pro Tip: Winning First Place in a Kaggle Competition with Stacking Using cuML","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Simplify Setup and Boost Data Science in the Cloud using NVIDIA CUDA-X and Coiled","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/simplify-setup-and-boost-data-science-in-the-cloud-using-nvidia-cuda-x-and-coiled","technologies":["cuDF"],"document_date":"2025-05-15T15:31:36.000Z","short_summary":"Set up cloud-based GPU data science workflows using NVIDIA CUDA-X and Coiled.","document_title":"Simplify Setup and Boost Data Science in the Cloud using NVIDIA CUDA-X and Coiled","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"How to Accelerate Community Detection in Python Using GPU-Powered Leiden","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/how-to-accelerate-community-detection-in-python-using-gpu-powered-leiden","technologies":["cuGraph"],"document_date":"2025-09-23T13:30:00.000Z","short_summary":"Accelerate community detection in Python using GPU-powered Leiden with NVIDIA cuGraph.","document_title":"How to Accelerate Community Detection in Python Using GPU-Powered Leiden","learning_level":"Technical - Intermediate","x_content_types":["How-to"]},{"title":"How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/how-to-spot-and-fix-5-common-performance-bottlenecks-in-pandas-workflows","technologies":["cuDF"],"document_date":"2025-08-22T16:54:44.000Z","short_summary":"Optimize pandas workflows by spotting and fixing five common performance bottlenecks.","document_title":"How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows","learning_level":"Technical - Intermediate","x_content_types":["How-to"]},{"title":"NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/nvidia-cuml-brings-zero-code-change-acceleration-to-scikit-learn","technologies":["cuML"],"document_date":"2025-03-18T14:42:25.000Z","short_summary":"Learn how cuML delivers zero-code-change GPU acceleration for scikit-learn workflows.","document_title":"NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"How to Work with Data Exceeding VRAM in the Polars GPU Engine","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/how-to-work-with-data-exceeding-vram-in-the-polars-gpu-engine","technologies":["cuDF"],"document_date":"2025-06-27T14:00:00.000Z","short_summary":"Configure the Polars GPU engine to process datasets larger than available VRAM efficiently.","document_title":"How to Work with Data Exceeding VRAM in the Polars GPU Engine","learning_level":"Technical - Intermediate","x_content_types":["How-to"]},{"title":"Reducing CUDA Binary Size to Distribute cuML on PyPI","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/reducing-cuda-binary-size-to-distribute-cuml-on-pypi","technologies":["CUDA Toolkit","cuML","cuVS"],"document_date":"2025-12-15T14:30:00.000Z","short_summary":"Examine how NVIDIA shrunk CUDA binaries to ship pip-installable cuML wheels via PyPI.","document_title":"Reducing CUDA Binary Size to Distribute cuML on PyPI","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"Mastering the cudf.pandas Profiler for GPU Acceleration","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/mastering-the-cudf-pandas-profiler-for-gpu-acceleration","technologies":["cuDF"],"document_date":"2025-01-30T14:00:00.000Z","short_summary":"Learn how to use the cudf.pandas profiler to identify and fix GPU acceleration bottlenecks.","document_title":"Mastering the cudf.pandas Profiler for GPU Acceleration","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"JSON Lines Reading with pandas 100x Faster Using NVIDIA cuDF","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/json-lines-reading-with-pandas-100x-faster-using-nvidia-cudf","technologies":["cuDF"],"document_date":"2025-02-20T14:00:00.000Z","short_summary":"Accelerate JSON Lines parsing in pandas by 100x using NVIDIA cuDF.","document_title":"JSON Lines Reading with pandas 100x Faster Using NVIDIA cuDF","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/building-nemotron-cc-a-high-quality-trillion-token-dataset-for-llm-pretraining-from-common-crawl-using-nvidia-nemo-curator","technologies":["cuDF","cuML","NeMo Curator"],"document_date":"2025-05-07T13:22:31.000Z","short_summary":"Examine how NeMo Curator builds the Nemotron-CC trillion-token LLM pretraining dataset from Common Crawl.","document_title":"Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/feature-engineering-at-scale-optimizing-ml-models-in-semiconductor-manufacturing-with-nvidia-cuda%E2%80%91x-data-science","technologies":["cuDF","cuML"],"document_date":"2025-07-17T13:04:06.000Z","short_summary":"Learn how CUDA-X Data Science scales feature engineering for semiconductor manufacturing ML models.","document_title":"Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/ai-in-manufacturing-and-operations-at-nvidia-accelerating-ml-models-with-nvidia-cuda-x-data-science","technologies":["CUDA Toolkit","cuDF","cuML"],"document_date":"2025-06-18T12:00:00.000Z","short_summary":"Learn how CUDA-X Data Science accelerates ML across NVIDIA chip manufacturing and operations.","document_title":"AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Driving Toward Billion-Cell Analysis and Biological Breakthroughs with RAPIDS-singlecell","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/driving-toward-billion-cell-analysis-and-biological-breakthroughs-with-rapids-singlecell","technologies":["cuML"],"document_date":"2025-06-12T10:00:00.000Z","short_summary":"Explore how RAPIDS-singlecell scales single-cell analysis to billion-cell datasets for biological research.","document_title":"Driving Toward Billion-Cell Analysis and Biological Breakthroughs with RAPIDS-singlecell","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Accelerating Real-Time Financial Decisions with Quantitative Portfolio Optimization","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/accelerating-real-time-financial-decisions-with-quantitative-portfolio-optimization","technologies":["cuML"],"document_date":"2025-12-02T15:51:00.000Z","short_summary":"Analyze how GPU-accelerated cuML enables real-time quantitative portfolio optimization at scale.","document_title":"Accelerating Real-Time Financial Decisions with Quantitative Portfolio Optimization","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/enhance-your-training-data-with-new-nvidia-nemo-curator-classifier-models","technologies":["cuDF","NeMo","NeMo Curator"],"document_date":"2024-12-19T20:08:08.000Z","short_summary":"Enhance training data quality using NeMo Curator's new classifier models for generative AI pipelines.","document_title":"Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Get Started with GPU Acceleration for Data Science","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/get-started-with-gpu-acceleration-for-data-science","technologies":["cuDF"],"document_date":"2025-02-06T20:07:48.000Z","short_summary":"Practice GPU-accelerated data science workflows for faster processing of large, complex datasets.","document_title":"Get Started with GPU Acceleration for Data Science","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Accelerating Time Series Forecasting with RAPIDS cuML","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/accelerating-time-series-forecasting-with-rapids-cuml","technologies":["cuML"],"document_date":"2025-01-16T14:20:10.000Z","short_summary":"Learn how to accelerate time-series forecasting using RAPIDS cuML on GPUs.","document_title":"Accelerating Time Series Forecasting with RAPIDS cuML","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"Efficient Transforms in cuDF Using JIT Compilation","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/efficient-transforms-in-cudf-using-jit-compilation","technologies":["cuDF"],"document_date":"2025-08-07T18:06:42.000Z","short_summary":"Learn how cuDF uses JIT compilation to deliver efficient GPU-accelerated ETL transforms.","document_title":"Efficient Transforms in cuDF Using JIT Compilation","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"Efficiently Scaling Polars GPU Parquet Reader","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/efficiently-scaling-polars-gpu-parquet-reader","technologies":["cuDF"],"document_date":"2025-04-10T13:30:00.000Z","short_summary":"Examine engineering work scaling the Polars GPU Parquet reader for large datasets.","document_title":"Efficiently Scaling Polars GPU Parquet Reader","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data","featured":true,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/the-kaggle-grandmasters-playbook-7-battle-tested-modeling-techniques-for-tabular-data","technologies":["cuDF","cuML"],"document_date":"2025-09-18T14:29:36.000Z","short_summary":"Learn seven battle-tested modeling techniques for tabular data from Kaggle Grandmasters.","document_title":"The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs","featured":true,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/3-pandas-workflows-that-slowed-to-a-crawl-on-large-datasets-until-we-turned-on-gpus","technologies":["cuDF"],"document_date":"2025-07-18T10:00:00.000Z","short_summary":"Accelerate three common pandas workflows on large datasets by enabling GPU execution.","document_title":"3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs","learning_level":"Technical - Beginner","x_content_types":["Explainer"]},{"title":"How NVIDIA DGX Spark’s Performance Enables Intensive AI Tasks","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/how-nvidia-dgx-sparks-performance-enables-intensive-ai-tasks","technologies":["cuDF","cuML"],"document_date":"2025-10-24T13:00:00.000Z","short_summary":"Examine how DGX Spark's memory and compute enable intensive local AI developer workloads.","document_title":"How NVIDIA DGX Spark’s Performance Enables Intensive AI Tasks","learning_level":"Technical - Intermediate","x_content_types":["Explainer"]},{"title":"Even Faster and More Scalable UMAP on the GPU with RAPIDS cuML","featured":false,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/even-faster-and-more-scalable-umap-on-the-gpu-with-rapids-cuml","technologies":["cuML"],"document_date":"2024-10-31T17:24:07.000Z","short_summary":"Examine scalable GPU UMAP in RAPIDS cuML for bioinformatics, NLP, and ML preprocessing.","document_title":"Even Faster and More Scalable UMAP on the GPU with RAPIDS cuML","learning_level":"Technical - Advanced","x_content_types":["Explainer"]},{"title":"How to GPU-Accelerate Model Training with CUDA-X Data Science","featured":true,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/how-to-gpu-accelerate-model-training-with-cuda-x-data-science","technologies":["cuML"],"document_date":"2025-09-25T13:30:00.000Z","short_summary":"Accelerate ML model training on GPUs using CUDA-X Data Science libraries like cuML and cuDF.","document_title":"How to GPU-Accelerate Model Training with CUDA-X Data Science","learning_level":"Technical - Beginner","x_content_types":["How-to"]},{"title":"Try GPU Polars Notebook","featured":true,"x_formats":["hands-on"],"document_url":"https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/accelerated_data_processing_examples/polars_gpu_engine_demo.ipynb","technologies":["cuDF"],"document_date":"2024-09-17T13:11:07.000Z","short_summary":"Build accelerated DataFrame workflows in Colab using the Polars GPU engine.","document_title":"Try GPU Polars Notebook","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Try cuGraph Notebook","featured":true,"x_formats":["hands-on"],"document_url":"https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/accelerated_networkx_demo.ipynb","technologies":["cuGraph"],"document_date":"2026-02-12T21:47:07.000Z","short_summary":"Practice accelerating NetworkX graph analytics with nx-cugraph in a hosted Colab notebook.","document_title":"Try cuGraph Notebook","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Try cuDF pandas Notebook","featured":true,"x_formats":["hands-on"],"document_url":"https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_colab_demo.ipynb","technologies":["cuDF"],"document_date":"2024-10-25T16:35:06.000Z","short_summary":"Practice GPU-accelerating pandas workflows with cuDF pandas in a hosted Colab notebook.","document_title":"Try cuDF pandas Notebook","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Try cuML Notebook","featured":true,"x_formats":["hands-on"],"document_url":"https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cuml_sklearn_colab_demo.ipynb","technologies":["cuML"],"document_date":"2025-03-19T18:33:24.000Z","short_summary":"Practice running cuML's zero-code-change scikit-learn accelerator in a hosted Colab notebook.","document_title":"Try cuML Notebook","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"Try XGBoost Notebook","featured":true,"x_formats":["hands-on"],"document_url":"https://colab.research.google.com/drive/19sS-jsREr_suJvOavLFpRsxpICUvnQ7X","technologies":["cuML"],"document_date":"2025-01-01T05:00:00.000Z","short_summary":"Practice GPU-accelerated data science techniques in this interactive Google Colab notebook.","document_title":"Try XGBoost Notebook","learning_level":"Technical - Beginner","x_content_types":["Tutorial"]},{"title":"7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows","featured":true,"x_formats":["blog"],"document_url":"https://developer.nvidia.com/blog/7-drop-in-replacements-to-instantly-speed-up-your-python-data-science-workflows","technologies":["cuDF","cuGraph"],"document_date":"2025-08-01T19:45:50.000Z","short_summary":"Learn seven drop-in library replacements to instantly speed up Python data science workflows.","document_title":"7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows","learning_level":"Technical - Beginner","x_content_types":["Explainer"]}]