1. [Topics](/topics) 2. [AI](/topics/ai/) 3. Data Science ### Data Science Data science is the process of processing and interpreting data to extract insights and inform decision-making, often using machine learning and advanced statistical techniques. Scroll to Resources: [Learning Library](#library) Key Topics: Data Processing and Analytics Machine Learning Graph Analytics Auto Ontology Vector Search Linear Programming Route Optimization Predictive AI - - - [![A workflow diagram showing how data science works](https://developer.download.nvidia.com/images/how-data-science-works.svg "A workflow diagram showing how data science works")](https://developer.download.nvidia.com/images/how-data-science-works.svg) Click to Enlarge ## How Data Science Works Data science starts with data processing, which involves data ingestion and decompression to collect and unpack data, followed by data cleaning to remove errors and inconsistencies. Next, data analytics is performed to extract insights. Machine learning and deep learning are then used to train models on the processed data, allowing them to learn patterns. These trained models can then make predictions or inferences, providing valuable insights and helping in decision-making processes. ## Explore Data Science Tools and Technologies These tools, and more, are built on NVIDIA CUDA-X™ for Data Science, a collection of open source libraries that accelerate the data science and data processing ecosystem. [Learn More About CUDA-X for Data Science](https://developer.nvidia.com/topics/ai/data-science/cuda-x-data-science-libraries) ### NVIDIA cuDF NVIDIA cuDF is an open source CUDA-X library that accelerates popular libraries like pandas, Polars, and Apache Spark on NVIDIA GPUs — delivering massive speed-ups for DataFrame operations with no code changes required. [Get Started With cuDF](/cudf) ### NVIDIA cuML NVIDIA cuML is an open source CUDA-X Data Science library that accelerates scikit-learn, UMAP, and HDBSCAN on GPUs — supercharging machine learning workflows with no code changes required. [Get Started With cuML](/cuml) ### NVIDIA NeMo Curator NVIDIA NeMo™ Curator provides pre-built accelerated pipelines to process multimodal data at scale, improving the performance of agentic systems. [Get Started With NeMo Curator](/nemo-curator/) ### NVIDIA Morpheus [NVIDIA Morpheus](https://www.nvidia.com/en-us/ai-data-science/products/morpheus/) is a GPU-accelerated, end-to-end AI framework enabling developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. [Get Started With Morpheus](/morpheus-cybersecurity) ### NVIDIA cuVS NVIDIA cuVS is an open source library for GPU-accelerated vector search and data clustering. It enables higher throughput, lower latency, and faster index build times and improves the efficiency of semantic search within pipelines and applications such as information retrieval or retrieval-augmented generation (RAG). [Get Started With cuVS](http://developer.nvidia.com/cuvs/) ### NVIDIA cuOpt [NVIDIA cuOpt™](https://www.nvidia.com/en-us/ai-data-science/products/cuopt/) is a world-record-setting, GPU-accelerated logistics solver that uses heuristics, metaheuristics, and optimizations to calculate complex vehicle routing problems with a wide range of constraints. [Get Started With cuOpt](https://resources.nvidia.com/en-us-cuopt/cuopt-accelerated-optimization-to-boost-operational-efficiency-blog) ### NVIDIA Nemotron Retriever [NVIDIA NeMo Retriever](https://www.nvidia.com/en-us/ai-data-science/products/nemo/) is a collection of generative AI microservices enabling enterprises to seamlessly connect models to diverse business data and deliver highly accurate responses. [Get Started With NeMo Retriever](/nemo-retriever) ### NVIDIA NeMo Data Designer NVIDIA NeMo Data Designer generates high-quality, domain-specific synthetic data from scratch or seed examples—accelerating model development while eliminating privacy risks and data-collection bottlenecks. [Get Started With NeMo Data Designer](https://build.nvidia.com/nemo/data-designer) ## Data Science Learning Library The rows below are the raw result records for this component — one row per record. Column names are the source index fields; the full data is also downloadable in the links that follow. | links | title | excerpt | featured | products | sort_key | created_at | content_type | learning_levels | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | {"url" => "https://developer.nvidia.com/blog/bolstering-cybersecurity-how-large-language-models-and-generative-ai-are-transforming-digital-security/", "text" => "Learn more"} | Bolstering Cybersecurity: How Large Language Models and Generative AI are Transforming Digital Security | Identity-based attacks are on the rise, with phishing remaining the most common and second-most expensive attack vector. Some attackers are using AI to craft… | false | Morpheus | 2\|bolstering cybersecurity: how large language models and generative ai are transforming digital security | 1701046800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/realizing-the-power-of-real-time-network-processing-with-nvidia-doca-gpunetio/", "text" => "Learn more"} | Realizing the Power of Real-Time Network Processing with NVIDIA DOCA GPUNetIO | NVIDIA DOCA GPUNetIO library can be adopted in a wide range of applications from different contexts, providing huge improvements for latency, throughput, and system... | false | Aerial, BlueField DPU, ConnectX, DOCA, Morpheus | 2\|realizing the power of real-time network processing with nvidia doca gpunetio | 1690203600 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/how-to-take-a-rag-application-from-pilot-to-production-in-four-steps/", "text" => "Learn more"} | How to Take a RAG Application from Pilot to Production in Four Steps | Generative AI has the potential to transform every industry. Human workers are already using large language models (LLMs) to explain, reason about… | false | AI Enterprise, Metropolis, Morpheus, NeMo, NeMo Microservices, NeMo Retriever, NIM, RAPIDS, Riva | 2\|how to take a rag application from pilot to production in four steps | 1710774000 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/new-languages-enhanced-cybersecurity-and-medical-ai-frameworks-unveiled-at-gtc/", "text" => "Learn more"} | New Languages, Enhanced Cybersecurity, and Medical AI Frameworks Unveiled at GTC | Major updates to AI frameworks for building real-time speech AI apps, designing high-performing recommenders at scale, applying AI to cybersecurity challenges, and... | false | BioNeMo, Clara Holoscan, cuOpt, DRIVE, Isaac SDK, Maxine, Merlin, Metropolis, MONAI, Morpheus, NeMo Framework, Riva, Triton Inference Server, Dynamo | 2\|new languages, enhanced cybersecurity, and medical ai frameworks unveiled at gtc | 1663748280 | Blog | | | {"url" => "https://developer.nvidia.com/blog/supercharge-ransomware-detection-with-ai-enhanced-cybersecurity-solutions/", "text" => "Learn more"} | Supercharge Ransomware Detection with AI-Enhanced Cybersecurity Solutions | Ransomware attacks have become increasingly popular, more sophisticated, and harder to detect. For example, in 2022, a destructive ransomware attack took 233… | false | BlueField DPU, DOCA, Morpheus | 2\|supercharge ransomware detection with ai-enhanced cybersecurity solutions | 1694002135 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/generative-ai-and-accelerated-computing-for-spear-phishing-detection/", "text" => "Learn more"} | Generative AI and Accelerated Computing for Spear Phishing Detection | Spear phishing is the largest and most costly form of cyber threat, with an estimated 300,000 reported victims in 2021 representing $44 million in reported… | false | Morpheus, NeMo Framework | 2\|generative ai and accelerated computing for spear phishing detection | 1694516400 | Blog | General Interest | | {"url" => "https://nvda.ws/3waljI7#new_tab", "text" => "Learn more"} | Event: Cybersecurity Developer Day at NVIDIA GTC 2024 | Join us on March 20 for Cybersecurity Developer Day at GTC to gain insights on leveraging generative AI for cyber defense. | false | AI Workbench, LaunchPad, Morpheus | 2\|event: cybersecurity developer day at nvidia gtc 2024 | 1709110800 | Blog | General Interest | | {"url" => "https://nvda.ws/4bL7WhV#new_tab", "text" => "Learn more"} | Featured Cybersecurity Sessions at NVIDIA GTC 2024 | Discover how generative AI is powering cybersecurity solutions with enhanced speed, accuracy, and scalability. | false | AI Workbench, LaunchPad, Morpheus | 2\|featured cybersecurity sessions at nvidia gtc 2024 | 1707913611 | Blog | Beginner, Intermediate, Advanced | | {"url" => "https://nvda.ws/3J7ZHzx#new_tab", "text" => "Learn more"} | Webinar: AI-Enabled Cybersecurity for Financial Services | Learn how financial firms can build automated, real-time fraud and threat detection solutions with NVIDIA Morpheus. | false | Morpheus | 2\|webinar: ai-enabled cybersecurity for financial services | 1687265642 | Blog | General Interest | | {"url" => "https://nvda.ws/48FJ4pR#new_tab", "text" => "Learn more"} | Webinar: Improve Spear Phishing Detection with AI | Learn how generative AI can help defend against spear phishing in this January 30 webinar. | false | Morpheus | 2\|webinar: improve spear phishing detection with ai | 1706090400 | Blog | Beginner, Intermediate | | {"url" => "https://nvda.ws/44L3bRZ#new_tab", "text" => "Learn more"} | Webinar: Cybersecurity and AI in Retail | Join NVIDIA on Tuesday, June 6, 2023 at 9AM PT, for a webinar on cybersecurity and AI in retail. We discuss how AI can bring a new level of information security to the... | false | Morpheus | 2\|webinar: cybersecurity and ai in retail | 1683536400 | Blog | General Interest | | {"url" => "https://developer.nvidia.com/blog/developers-design-innovative-network-security-solutions-at-the-nvidia-cybersecurity-hackathon/", "text" => "Learn more"} | Developers Design Innovative Network Security Solutions at the NVIDIA Cybersecurity Hackathon | The latest NVIDIA Cybersecurity Hackathon brought together 10 teams to create exciting cybersecurity innovations using the NVIDIA Morpheus cybersecurity AI… | false | BlueField DPU, DOCA, Morpheus | 2\|developers design innovative network security solutions at the nvidia cybersecurity hackathon | 1671008400 | Blog | | | {"url" => "https://info.nvidia.com/detecting-cyber-threats-with-unsupervised-learning.html?nvid=nv-int-txtad-297947-vt43#cid=dl24_nv-int-txtad_en-us#new_tab", "text" => "Learn more"} | Upcoming Webinar: Detecting Cyber Threats with Unsupervised Learning  | Discover how to detect cyber threats using machine learning and NVIDIA Morpheus, an open-source AI framework. | false | BlueField DPU, EGX, Morpheus | 2\|upcoming webinar: detecting cyber threats with unsupervised learning | 1659690000 | Blog | | | {"url" => "https://info.nvidia.com/improve-your-cybersecurity-posture-with-ai.html?nvid=nv-int-tblg-746753-vt22#cid=dl24_nv-int-tblg_en-us#new_tab", "text" => "Learn more"} | Upcoming Event: Improve Your Cybersecurity Posture with AI | Find out how federal agencies are adopting AI to improve cybersecurity in this November 16 webinar featuring Booz Allen Hamilton. | false | BlueField DPU, EGX, Morpheus | 2\|upcoming event: improve your cybersecurity posture with ai | 1666794600 | Blog | | | {"url" => "https://developer.nvidia.com/blog/nvidia-morpheus-helps-defend-against-spear-phishing-with-generative-ai/", "text" => "Learn more"} | NVIDIA Morpheus Helps Defend Against Spear Phishing with Generative AI | The NVIDIA Morpheus cybersecurity framework helps defend against spear phishing using generative AI. | false | Morpheus | 2\|nvidia morpheus helps defend against spear phishing with generative ai | 1679392253 | Blog | | | {"url" => "https://www.nvidia.com/en-us/launchpad/ai/digital-fingerprinting-to-detect-cyber-threats/#new_tab", "text" => "Learn more"} | Hands-on Lab: Digital Fingerprinting to Detect Cyber Threats | Learn how to use an NVIDIA AI workflow to uniquely fingerprint users and machines across your network in a new, free NVIDIA LaunchPad hands-on lab. | false | LaunchPad, Morpheus | 2\|hands-on lab: digital fingerprinting to detect cyber threats | 1675843200 | Blog | | | {"url" => "https://developer.nvidia.com/blog/from-neuroscience-to-data-science-my-road-into-cybersecurity/", "text" => "Learn more"} | From Neuroscience to Data Science: My Road Into Cybersecurity | If you asked a group of cybersecurity professionals how they got into the field, you might be surprised by the answers that you receive. With military officers… | false | Morpheus | 2\|from neuroscience to data science: my road into cybersecurity | 1678784400 | Blog | | | {"url" => "https://developer.nvidia.com/blog/safeguarding-networks-and-assets-with-digital-fingerprinting/", "text" => "Learn more"} | Safeguarding Networks and Assets with Digital Fingerprinting | Use of stolen or compromised credentials remains at the top of the list as the most common cause of a data breach. Because an attacker is using credentials or… | false | Morpheus | 2\|safeguarding networks and assets with digital fingerprinting | 1664960400 | Blog | | | {"url" => "https://developer.nvidia.com/blog/detecting-threats-faster-with-ai-based-cybersecurity/", "text" => "Learn more"} | Detecting Threats Faster with AI-Based Cybersecurity | The latest release of NVIDIA Morpheus includes new visualization capabilities enabling cybersecurity analysts to more quickly pinpoint and react to threats. | false | BlueField DPU, EGX, Morpheus | 2\|detecting threats faster with ai-based cybersecurity | 1663846800 | Blog | | | {"url" => "https://developer.nvidia.com/blog/addressing-cybersecurity-in-the-enterprise-with-ai/", "text" => "Learn more"} | Addressing Cybersecurity in the Enterprise with AI | Traditional cybersecurity approaches are falling short. See how AI can help you manage risks, identify vulnerabilities, and stop breaches in your enterprise. | false | Morpheus | 2\|addressing cybersecurity in the enterprise with ai | 1660813200 | Blog | | | {"url" => "https://nvda.ws/41vYE4d", "text" => "Learn more"} | Top Cybersecurity Sessions at NVIDIA GTC 2023 | Learn how AI is improving your cybersecurity to detect threats faster. | false | Morpheus | 2\|top cybersecurity sessions at nvidia gtc 2023 | 1677679200 | Blog | | | {"url" => "https://developer.nvidia.com/blog/insiders-guide-to-gtc-cybersecurity-data-center-data-science-and-networking/", "text" => "Learn more"} | Insider’s Guide to GTC: Cybersecurity, Data Center, Data Science, and Networking | Informative sessions on automated cyberattack prevention, power grid management from the edge, optimizing network storage, edge AI-on-5G, and addressing malware with... | false | Morpheus, RAPIDS | 2\|insider’s guide to gtc: cybersecurity, data center, data science, and networking | 1646907312 | Blog | General Interest | | {"url" => "https://developer.nvidia.com/blog/building-an-ai-agent-for-supply-chain-optimization-with-nvidia-nim-and-cuopt/", "text" => "Learn more"} | Building an AI Agent for Supply Chain Optimization with NVIDIA NIM and cuOpt | Enterprises face significant challenges in making supply chain decisions that maximize profits while adapting quickly to dynamic changes. | false | cuOpt, NeMo Retriever, NIM | 2\|building an ai agent for supply chain optimization with nvidia nim and cuopt | 1721137904 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/bringing-confidentiality-to-vector-search-with-cyborg-and-nvidia-cuvs/", "text" => "Learn more"} | Bringing Confidentiality to Vector Search with Cyborg and NVIDIA cuVS | In the era of generative AI, vector databases have become indispensable for storing and querying high-dimensional data efficiently. However, like all databases… | false | cuVS, Hopper, LaunchPad, RAPIDS | 2\|bringing confidentiality to vector search with cyborg and nvidia cuvs | 1723712400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerating-vector-search-nvidia-cuvs-ivf-pq-performance-tuning-part-2/", "text" => "Learn more"} | Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 2, Performance Tuning | In the first part of the series, we presented an overview of the IVF-PQ algorithm and explained how it builds on top of the IVF-Flat algorithm… | false | cuVS, RAPIDS | 2\|accelerating vector search: nvidia cuvs ivf-pq part 2, performance tuning | 1721297403 | Blog | Advanced | | {"url" => "https://info.nvidia.com/rethinking-zero-trust-an-ai-based-approach-to-cybersecurity.html?nvid=nv-int-txtad-883906-vt43#cid=dl24_nv-int-txtad_en-us#new_tab", "text" => "Learn more"} | Upcoming Event: Rethinking Zero-Trust: An AI-Based Approach to Cybersecurity | Join us on May 26 to learn how you can leverage accelerated AI frameworks to build high performance zero-trust solutions with reduced friction and fewer lines of code. | false | BlueField DPU, EGX, Morpheus | 2\|upcoming event: rethinking zero-trust: an ai-based approach to cybersecurity | 1652691600 | Blog | | | {"url" => "https://developer.nvidia.com/blog/accelerating-vector-search-nvidia-cuvs-ivf-pq-deep-dive-part-1/", "text" => "Learn more"} | Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 1, Deep Dive | In this post, we continue the series on accelerating vector search using NVIDIA cuVS. Our previous post in the series introduced IVF-Flat, a fast algorithm for… | false | cuVS, RAPIDS | 2\|accelerating vector search: nvidia cuvs ivf-pq part 1, deep dive | 1721297385 | Blog | Advanced | | {"url" => "https://developer.nvidia.com/blog/supercharging-ai-accelerated-cybersecurity-threat-detection/", "text" => "Learn more"} | Supercharging AI-Accelerated Cybersecurity Threat Detection | NVIDIA Morpheus, now available for download, enables you to use AI to achieve up to 1000x improved performance. | false | BlueField DPU, EGX, Morpheus | 2\|supercharging ai-accelerated cybersecurity threat detection | 1648022460 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/improving-enterprise-it-fraud-prevention/", "text" => "Learn more"} | Improving Enterprise IT Fraud Prevention | This post discusses infrastructure factors to consider, such as performance, hardware, and types of AI software for implementing a fraud prevention strategy. | false | Morpheus | 2\|improving enterprise it fraud prevention | 1656489600 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/designing-a-new-net-for-phishing-detection-with-nvidia-morpheus/", "text" => "Learn more"} | Designing a New Net for Phishing Detection with NVIDIA Morpheus | With NVIDIA Morpheus, now available for download, you can achieve up to 99% accuracy for phishing detection, using AI. | false | Morpheus | 2\|designing a new net for phishing detection with nvidia morpheus | 1652697379 | Blog | | | {"url" => "https://developer.nvidia.com/blog/enhancing-zero-trust-security-with-data/", "text" => "Learn more"} | Enhancing Zero Trust Security with Data | This post discusses how a thoughtful cybersecurity team can structure a zero-trust system that keeps users and data safe, and maintain a seamless user experience. | false | Morpheus | 2\|enhancing zero trust security with data | 1652787788 | Blog | | | {"url" => "https://developer.nvidia.com/blog/augmenting-security-operations-centers-with-accelerated-alert-triage-and-llm-agents-using-nvidia-morpheus/", "text" => "Learn more"} | Augmenting Security Operations Centers with Accelerated Alert Triage and LLM Agents Using NVIDIA Morpheus | Every day, security operation center (SOC) analysts receive an overwhelming amount of incoming security alerts. To ensure the continued safety of their… | false | Morpheus, NeMo Retriever | 2\|augmenting security operations centers with accelerated alert triage and llm agents using nvidia morpheus | 1729767736 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/rapidly-triage-container-security-with-the-vulnerability-analysis-nvidia-nim-agent-blueprint/", "text" => "Learn more"} | Rapidly Triage Container Security with the Vulnerability Analysis NVIDIA NIM Agent Blueprint | Addressing software security issues is becoming more challenging as the number of vulnerabilities reported in the CVE database continues to grow at an… | false | Morpheus, NIM | 2\|rapidly triage container security with the vulnerability analysis nvidia nim agent blueprint | 1728374400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/major-updates-to-nvidia-ai-software-advancing-speech-recommenders-inference-and-more-announced-at-nvidia-gtc-2022/", "text" => "Learn more"} | Major Updates to NVIDIA AI Software Advancing Speech, Recommenders, Inference, and More Announced at NVIDIA GTC 2022 | At GTC 2022, NVIDIA announced Riva 2.0, Merlin 1.0, new features to NVIDIA Triton, and more. | false | Maxine, Merlin, NeMo Framework, Triton Inference Server, Dynamo | 2\|major updates to nvidia ai software advancing speech, recommenders, inference, and more announced at nvidia gtc 2022 | 1647943320 | Blog | | | {"url" => "https://developer.nvidia.com/blog/supercharging-fraud-detection-in-financial-services-with-graph-neural-networks/", "text" => "Learn more"} | Supercharging Fraud Detection in Financial Services with Graph Neural Networks (Updated) | Note: This blog post was originally published on Oct. 28, 2024, but has been edited to reflect new updates. Fraud in financial services is a massive problem. | false | AI Enterprise, Morpheus, RAPIDS | 2\|supercharging fraud detection in financial services with graph neural networks (updated) | 1748905200 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/automate-early-security-patching-in-ci-pipelines-on-aws-using-nvidia-ai-blueprints/", "text" => "Learn more"} | Automate Early Security Patching in CI Pipelines on AWS Using NVIDIA AI Blueprints | The evolution of modern application development has led to a significant shift toward microservice-based architectures. This approach offers great flexibility… | false | Morpheus, NIM | 2\|automate early security patching in ci pipelines on aws using nvidia ai blueprints | 1733221800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerating-inference-on-end-to-end-workflows-with-h2o-ai-and-nvidia/", "text" => "Learn more"} | Accelerating Inference on End-to-End Workflows with H2O.ai and NVIDIA | Data scientists are combining generative AI and predictive analytics to build the next generation of AI applications. In financial services… | false | NeMo Guardrails, NeMo Retriever, RAPIDS, Triton Inference Server, Dynamo | 2\|accelerating inference on end-to-end workflows with h2o.ai and nvidia | 1704348000 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/enhance-your-training-data-with-new-nvidia-nemo-curator-classifier-models/", "text" => "Learn more"} | Enhance Your Training Data with New NVIDIA NeMo Curator Classifier Models | Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for… | false | cuDF, NeMo, NeMo Curator, RAPIDS | 2\|enhance your training data with new nvidia nemo curator classifier models | 1734620888 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerated-vector-search-approximating-with-nvidia-cuvs-ivf-flat/", "text" => "Learn more"} | Accelerated Vector Search: Approximating with NVIDIA cuVS Inverted Index | Performing an exhaustive exact k-nearest neighbor (kNN) search, also known as brute-force search, is expensive, and it doesn’t scale particularly well to larger… | false | cuVS, RAPIDS | 2\|accelerated vector search: approximating with nvidia cuvs inverted index | 1696245418 | Blog | Beginner | | {"url" => "https://developer.nvidia.com/blog/harnessing-data-with-ai-to-boost-zero-trust-cyber-defense/", "text" => "Learn more"} | Harnessing Data with AI to Boost Zero Trust Cyber Defense | Modern cyber threats have grown increasingly sophisticated, posing significant risks to federal agencies and critical infrastructure. According to Deloitte… | false | Morpheus, NeMo, NeMo Retriever, NIM | 2\|harnessing data with ai to boost zero trust cyber defense | 1727343355 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/video-talk-to-your-supply-chain-data-using-nvidia-nim/", "text" => "Learn more"} | Video: Talk to Your Supply Chain Data Using NVIDIA NIM | NVIDIA operates one of the largest and most complex supply chains in the world. The supercomputers we build connect tens of thousands of NVIDIA GPUs with… | false | cuOpt, NeMo, NeMo Microservices, NeMo Retriever, NIM | 2\|video: talk to your supply chain data using nvidia nim | 1718626409 | Blog | Beginner | | {"url" => "https://developer.nvidia.com/blog/using-networkx-jaccard-similarity-and-cugraph-to-predict-your-next-favorite-movie/", "text" => "Learn more"} | Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie | As the amount of data available to everyone in the world increases, the ability for a consumer to make informed decisions becomes increasingly difficult. | false | cuGraph, RAPIDS | 2\|using networkx, jaccard similarity, and cugraph to predict your next favorite movie | 1739437200 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/gpu-accelerate-algorithmic-trading-simulations-by-over-100x-with-numba/", "text" => "Learn more"} | GPU-Accelerate Algorithmic Trading Simulations by over 100x with Numba | Quantitative developers need to run back-testing simulations to see how financial algorithms perform from a profit and loss (P&L) standpoint. | false | CUDA, H200, RAPIDS | 2\|gpu-accelerate algorithmic trading simulations by over 100x with numba | 1741095841 | Blog | Intermediate, Advanced | | {"url" => "https://developer.nvidia.com/blog/accelerating-vector-search-using-gpu-powered-indexes-with-rapids-raft/", "text" => "Learn more"} | Accelerating Vector Search: Using GPU-Powered Indexes with NVIDIA cuVS | In the current AI landscape, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI. | false | cuVS, RAPIDS | 2\|accelerating vector search: using gpu-powered indexes with nvidia cuvs | 1694422740 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerate-apache-spark-ml-on-nvidia-gpus-with-zero-code-change/", "text" => "Learn more"} | Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change | NVIDIA cuDF accelerates Apache Spark with a software plug-in that pioneers a zero code change user experience (UX) for GPU-accelerated data processing. | false | RAPIDS | 2\|accelerate apache spark ml on nvidia gpus with zero code change | 1741261756 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/json-lines-reading-with-pandas-100x-faster-using-nvidia-cudf/", "text" => "Learn more"} | JSON Lines Reading with pandas 100x Faster Using NVIDIA cuDF | JSON is a widely adopted format for text-based information working interoperably between systems, most commonly in web applications and large language models… | false | cuDF, RAPIDS | 2\|json lines reading with pandas 100x faster using nvidia cudf | 1740042000 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerating-vector-search-fine-tuning-gpu-index-algorithms/", "text" => "Learn more"} | Accelerating Vector Search: Fine-Tuning GPU Index Algorithms | In this post, we dive deeper into each of the GPU-accelerated indexes mentioned in part 1 and give a brief explanation of how the algorithms work… | false | cuVS, RAPIDS | 2\|accelerating vector search: fine-tuning gpu index algorithms | 1694422800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/nvidia-cuml-brings-zero-code-change-acceleration-to-scikit-learn/", "text" => "Learn more"} | NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn | Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms… | false | cuML | 2\|nvidia cuml brings zero code change acceleration to scikit-learn | 1742294545 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerating-apache-parquet-scans-on-apache-spark-with-gpus/", "text" => "Learn more"} | Accelerating Apache Parquet Scans on Apache Spark with GPUs | As data sizes have grown in enterprises across industries, Apache Parquet has become a prominent format for storing data. Apache Parquet is a columnar storage… | false | RAPIDS | 2\|accelerating apache parquet scans on apache spark with gpus | 1743671883 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/efficiently-scaling-polars-gpu-parquet-reader/", "text" => "Learn more"} | Efficiently Scaling Polars GPU Parquet Reader | When working with large datasets, the performance of your data processing tools becomes critical. Polars, an open-source library for data manipulation known for… | false | cuDF, RAPIDS | 2\|efficiently scaling polars gpu parquet reader | 1744277400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/high-performance-remote-io-with-nvidia-kvikio/", "text" => "Learn more"} | High-Performance Remote IO With NVIDIA KvikIO | Workloads processing large amounts of data, especially those running on the cloud, will often use an object storage service (S3, Google Cloud Storage… | false | RAPIDS | 2\|high-performance remote io with nvidia kvikio | 1740650152 | Blog | Intermediate | | {"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/", "text" => "Learn more"} | Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator | Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). | false | cuDF, cuML, NeMo Curator, Nemotron, RAPIDS | 2\|building nemotron-cc, a high-quality trillion token dataset for llm pretraining from common crawl using nvidia nemo curator | 1746609751 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/grandmaster-pro-tip-winning-first-place-in-kaggle-competition-with-feature-engineering-using-nvidia-cudf-pandas/", "text" => "Learn more"} | Grandmaster Pro Tip: Winning First Place in Kaggle Competition with Feature Engineering Using cuDF pandas | Feature engineering remains one of the most effective ways to improve model accuracy when working with tabular data. Unlike domains such as NLP and computer… | false | cuDF | 2\|grandmaster pro tip: winning first place in kaggle competition with feature engineering using cudf pandas | 1744905800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/grandmaster-pro-tip-winning-first-place-in-a-kaggle-competition-with-stacking-using-cuml/", "text" => "Learn more"} | Grandmaster Pro Tip: Winning First Place in a Kaggle Competition with Stacking Using cuML | What does it take to win a Kaggle competition in 2025? In the April Playground challenge, the goal was to predict how long users would listen to a podcast—and… | false | cuML, RAPIDS | 2\|grandmaster pro tip: winning first place in a kaggle competition with stacking using cuml | 1747906200 | Blog | Intermediate, Advanced | | {"url" => "https://developer.nvidia.com/blog/applying-autoencoder-based-gnns-for-high-throughput-network-anomaly-detection-in-netflow-data/", "text" => "Learn more"} | Applying Autoencoder-Based GNNs for High-Throughput Network Anomaly Detection in NetFlow Data | As modern enterprise and cloud environments scale, the complexity and volume of network traffic increase dramatically. NetFlow is used to record metadata about… | false | Morpheus | 2\|applying autoencoder-based gnns for high-throughput network anomaly detection in netflow data | 1746717521 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/spotlight-accelerating-the-discovery-of-new-battery-materials-with-ses-ais-molecular-universe/", "text" => "Learn more"} | Spotlight: Accelerating the Discovery of New Battery Materials with SES AI's Molecular Universe | From the Stone Age to the digital era, materials have been the foundation of our civilization across all epochs. Today, finding new materials leads to progress… | false | cuML | 2\|spotlight: accelerating the discovery of new battery materials with ses ai's molecular universe | 1746691200 | Blog | Beginner | | {"url" => "https://developer.nvidia.com/blog/rapids-brings-zero-code-change-acceleration-io-performance-gains-and-out-of-core-xgboost/", "text" => "Learn more"} | NVIDIA Brings Zero-Code-Change Acceleration, IO Performance Gains, and Out-of-Core XGBoost | NVIDIA data processing has introduced zero-code-change acceleration for Python machine learning, huge IO performance improvements, larger-than-memory XGBoost… | false | RAPIDS | 2\|nvidia brings zero-code-change acceleration, io performance gains, and out-of-core xgboost | 1748512540 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/stacking-generalization-with-hpo-maximize-accuracy-in-15-minutes-with-nvidia-cuml/", "text" => "Learn more"} | Stacking Generalization with HPO: Maximize Accuracy in 15 Minutes with NVIDIA cuML | Stacking generalization is a widely used technique among machine learning (ML) engineers, where multiple models are combined to boost overall predictive… | false | cuML, RAPIDS | 2\|stacking generalization with hpo: maximize accuracy in 15 minutes with nvidia cuml | 1746099318 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/simplify-setup-and-boost-data-science-in-the-cloud-using-nvidia-cuda-x-and-coiled/", "text" => "Learn more"} | Simplify Setup and Boost Data Science in the Cloud using NVIDIA CUDA-X and Coiled | Imagine analyzing millions of NYC ride-share journeys—tracking patterns across boroughs, comparing service pricing, or identifying profitable pickup locations. | false | RAPIDS | 2\|simplify setup and boost data science in the cloud using nvidia cuda-x and coiled | 1747308696 | Blog | Beginner | | {"url" => "https://developer.nvidia.com/blog/accelerate-deep-learning-and-llm-inference-with-apache-spark-in-the-cloud/", "text" => "Learn more"} | Accelerate Deep Learning and LLM Inference with Apache Spark in the Cloud | Apache Spark is an industry-leading platform for big data processing and analytics. With the increasing prevalence of unstructured data—documents, emails… | false | RAPIDS | 2\|accelerate deep learning and llm inference with apache spark in the cloud | 1746694800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/predicting-performance-on-apache-spark-with-gpus/", "text" => "Learn more"} | Predicting Performance on Apache Spark with GPUs | The world of big data analytics is constantly seeking ways to accelerate processing and reduce infrastructure costs. Apache Spark has become a leading platform… | false | RAPIDS | 2\|predicting performance on apache spark with gpus | 1747303200 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/feature-engineering-at-scale-optimizing-ml-models-in-semiconductor-manufacturing-with-nvidia-cuda%e2%80%91x-data-science/", "text" => "Learn more"} | Feature Engineering at Scale: Optimizing ML Models in Semiconductor Manufacturing with NVIDIA CUDA‑X Data Science | In our previous post, we introduced the setup of predictive modeling in chip manufacturing and operations, highlighting common challenges such as imbalanced… | false | cuDF, cuML, RAPIDS | 2\|feature engineering at scale: optimizingml models in semiconductor manufacturing with nvidiacuda-xdata science | 1752743046 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/ai-in-manufacturing-and-operations-at-nvidia-accelerating-ml-models-with-nvidia-cuda-x-data-science/", "text" => "Learn more"} | AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science | NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to… | false | CUDA, cuDF, cuML | 2\|ai in manufacturing and operations at nvidia: accelerating ml models with nvidia cuda-x data science | 1750233600 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/driving-toward-billion-cell-analysis-and-biological-breakthroughs-with-rapids-singlecell/", "text" => "Learn more"} | Driving Toward Billion-Cell Analysis and Biological Breakthroughs with RAPIDS-singlecell | The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an… | false | Blackwell, RAPIDS | 2\|driving toward billion-cell analysis and biological breakthroughs with rapids-singlecell | 1749708000 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/3-pandas-workflows-that-slowed-to-a-crawl-on-large-datasets-until-we-turned-on-gpus/", "text" => "Learn more"} | 3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs | If you work with pandas, you’ve probably hit the wall. It’s that moment when your trusty workflow, so elegant on smaller datasets, grinds to a halt on a large… | false | cuDF, RAPIDS | 2\|3 pandas workflows that slowed to a crawl on large datasets-until we turned on gpus | 1752818400 | Blog | Beginner | | {"url" => "https://developer.nvidia.com/blog/supercharge-tree-based-model-inference-with-forest-inference-library-in-nvidia-cuml/", "text" => "Learn more"} | Supercharge Tree-Based Model Inference with Forest Inference Library in NVIDIA cuML | Tree-ensemble models remain a go-to for tabular data because they’re accurate, comparatively inexpensive to train, and fast. But deploying Python inference on… | false | cuML, RAPIDS | 2\|supercharge tree-based model inference with forest inference library in nvidia cuml | 1749110400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/spotlight-atgenomix-seqslab-scales-health-omics-analysis-for-precision-medicine/", "text" => "Learn more"} | Spotlight: Atgenomix SeqsLab Scales Health Omics Analysis for Precision Medicine | In traditional clinical medical practice, treatment decisions are often based on general guidelines, past experiences, and trial-and-error approaches. Today… | false | Parabricks, RAPIDS | 2\|spotlight: atgenomix seqslab scales health omics analysis for precision medicine | 1747659600 | Blog | Advanced | | {"url" => "https://developer.nvidia.com/blog/rapids-adds-gpu-polars-streaming-a-unified-gnn-api-and-zero-code-ml-speedups/", "text" => "Learn more"} | RAPIDS Adds GPU Polars Streaming, a Unified GNN API, and Zero-Code ML Speedups | RAPIDS, a suite of NVIDIA CUDA-X libraries for Python data science, released version 25.06, introducing exciting new features. These include a Polars GPU… | false | General, RAPIDS | 2\|rapids adds gpu polars streaming, a unified gnn api, and zero-code ml speedups | 1751550939 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/serverless-distributed-data-processing-with-apache-spark-and-nvidia-ai-on-azure/", "text" => "Learn more"} | Serverless Distributed Data Processing with Apache Spark and NVIDIA AI on Azure | The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. | false | NIM, RAPIDS | 2\|serverless distributed data processing with apache spark and nvidia ai on azure | 1753266600 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/how-to-work-with-data-exceeding-vram-in-the-polars-gpu-engine/", "text" => "Learn more"} | How to Work with Data Exceeding VRAM in the Polars GPU Engine | In high-stakes fields such as quant finance, algorithmic trading, and fraud detection, data practitioners frequently need to process hundreds of gigabytes (GB)… | false | cuDF, RAPIDS | 2\|how to work with data exceeding vram in the polars gpu engine | 1751018400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerate-decision-optimization-using-open-source-nvidia-cuopt/", "text" => "Learn more"} | Accelerate Decision Optimization Using Open Source NVIDIA cuOpt | Businesses make thousands of decisions every day—what to produce, where to ship, how to allocate resources. At scale, optimizing these decisions becomes a… | false | cuOpt | 2\|accelerate decision optimization using open source nvidia cuopt | 1749614400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/nvidia-rapids-25-08-adds-new-profiler-for-cuml-updates-to-the-polars-gpu-engine-additional-algorithm-support-and-more/", "text" => "Learn more"} | NVIDIA RAPIDS 25.08 Adds New Profiler for cuML, Updates to the Polars GPU Engine, Additional Algorithm Support, and More | Beginning August 11, 2026, the RAPIDS brand transitioned to CUDA-X. All library functionality remains the same. Learn more about CUDA-X for Data Science. The 25. | false | cuDF, cuML, RAPIDS | 2\|nvidia rapids 25.08 adds new profiler for cuml, updates to the polars gpu engine, additional algorithm support, and more | 1758122949 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/train-with-terabyte-scale-datasets-on-a-single-nvidia-grace-hopper-superchip-using-xgboost-3-0/", "text" => "Learn more"} | Train with Terabyte-Scale Datasets on a Single NVIDIA Grace Hopper Superchip Using XGBoost 3.0 | Gradient-boosted decision trees (GBDTs) power everything from real-time fraud filters to petabyte-scale demand forecasts. XGBoost open source library has long… | false | GB200, NVLink, RAPIDS | 2\|train with terabyte-scale datasets on a single nvidia grace hopper superchip using xgboost 3.0 | 1754565936 | Blog | Intermediate, Advanced | | {"url" => "https://developer.nvidia.com/blog/the-kaggle-grandmasters-playbook-7-battle-tested-modeling-techniques-for-tabular-data/", "text" => "Learn more"} | The Kaggle Grandmasters Playbook: 7 Battle-Tested Modeling Techniques for Tabular Data | Over hundreds of Kaggle competitions, we’ve refined a playbook that consistently lands us near the top of the leaderboard—no matter if we’re working with… | false | cuDF, cuML, RAPIDS | 2\|the kaggle grandmasters playbook: 7 battle-tested modeling techniques for tabular data | 1758191376 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/nvidia-hardware-innovations-and-open-source-contributions-are-shaping-ai/", "text" => "Learn more"} | NVIDIA Hardware Innovations and Open Source Contributions Are Shaping AI | Open source AI models such as Cosmos, DeepSeek, Gemma, GPT-OSS, Llama, Nemotron, Phi, Qwen, and many more are the foundation of AI innovation. | false | Blackwell, Cosmos, Dynamo, GR00T, NeMo, NVLink, PhysicsNeMo, RAPIDS, TensorRT, TensorRT-LLM | 2\|nvidia hardware innovations and open source contributions are shaping ai | 1755849600 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/7-drop-in-replacements-to-instantly-speed-up-your-python-data-science-workflows/", "text" => "Learn more"} | 7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows | You’ve been there. You wrote the perfect Python script, tested it on a sample CSV, and everything worked flawlessly. But when you unleashed it on the full 10… | false | cuDF, cuGraph, RAPIDS | 2\|7 drop-in replacements to instantly speed up your python data science workflows | 1754063150 | Blog | Beginner | | {"url" => "https://developer.nvidia.com/blog/how-to-spot-and-fix-5-common-performance-bottlenecks-in-pandas-workflows/", "text" => "Learn more"} | How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows | Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make… | false | cuDF, RAPIDS | 2\|how to spot (and fix) 5 common performance bottlenecks in pandas workflows | 1755867284 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/accelerating-large-scale-data-analytics-with-gpu-native-velox-and-nvidia-cudf/", "text" => "Learn more"} | Accelerating Large-Scale Data Analytics with GPU-Native Velox and NVIDIA cuDF | Beginning August 11, 2026, the RAPIDS brand transitioned to CUDA-X. All library functionality remains the same. Learn more about CUDA-X for Data Science. | false | cuDF | 2\|accelerating large-scale data analytics with gpu-native velox and nvidia cudf | 1759726800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/how-to-accelerate-community-detection-in-python-using-gpu-powered-leiden/", "text" => "Learn more"} | How to Accelerate Community Detection in Python Using GPU-Powered Leiden | Beginning August 11, 2026, the RAPIDS brand transitioned to CUDA-X. All library functionality remains the same. Learn more about CUDA-X for Data Science. | false | cuGraph, RAPIDS | 2\|how to accelerate community detection in python using gpu-powered leiden | 1758619800 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/how-to-gpu-accelerate-model-training-with-cuda-x-data-science/", "text" => "Learn more"} | How to GPU-Accelerate Model Training with CUDA-X Data Science | In previous posts on AI in manufacturing and operations, we covered the unique data challenges in the supply chain and how smart feature engineering can… | false | cuML, RAPIDS | 2\|how to gpu-accelerate model training with cuda-x data science | 1758792600 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/efficient-transforms-in-cudf-using-jit-compilation/", "text" => "Learn more"} | Efficient Transforms in cuDF Using JIT Compilation | RAPIDS cuDF offers a broad set of ETL algorithms for processing data with GPUs. For pandas users, cuDF accelerated algorithms are available with the zero code… | false | cuDF, GB200 | 2\|efficient transforms in cudf using jit compilation | 1754575602 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/multi-agent-warehouse-ai-command-layer-enables-operational-excellence-and-supply-chain-intelligence/", "text" => "Learn more"} | Multi-Agent Warehouse AI Command Layer Enables Operational Excellence and Supply Chain Intelligence | Warehouses have never been more automated, more data-rich, or more operationally demanding than they are now—yet they still rely on systems that can’t keep up. | false | AI Enterprise, Blueprint, cuML, cuVS, NeMo, NIM | 2\|multi-agent warehouse ai command layer enables operational excellence and supply chain intelligence | 1767938400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/nvidia-cuda-13-1-powers-next-gen-gpu-programming-with-nvidia-cuda-tile-and-performance-gains/", "text" => "Learn more"} | NVIDIA CUDA 13.1 Powers Next-Gen GPU Programming with NVIDIA CUDA Tile and Performance Gains | NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago. In this release… | false | cuBLAS, CUDA, cuDF, cuFFT, cuSPARSE, NCCL, Nsight Tools - Compute | 2\|nvidia cuda 13.1 powers next-gen gpu programming with nvidia cuda tile and performance gains | 1764858056 | Blog | Advanced | | {"url" => "https://developer.nvidia.com/blog/learn-how-nvidia-cuopt-accelerates-mixed-integer-optimization-using-primal-heuristics/", "text" => "Learn more"} | Learn How NVIDIA cuOpt Accelerates Mixed Integer Optimization using Primal Heuristics | NVIDIA cuOpt is a GPU-accelerated optimization engine designed to deliver fast, high-quality solutions for large, complex decision-making problems. | false | cuOpt | 2\|learn how nvidia cuopt accelerates mixed integer optimization using primal heuristics | 1768307564 | Blog | Advanced | | {"url" => "https://developer.nvidia.com/blog/solve-linear-programs-using-the-gpu-accelerated-barrier-method-in-nvidia-cuopt/", "text" => "Learn more"} | Solve Linear Programs Using the GPU-Accelerated Barrier Method in NVIDIA cuOpt | How does the NFL schedule all its regular-season games while avoiding stadium conflicts with Beyoncé concerts? How can doctors use a single donated kidney to… | false | cuOpt, H200 | 2\|solve linear programs using the gpu-accelerated barrier method in nvidia cuopt | 1761296400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/nvidia-gpu-accelerated-sirius-achieves-record-setting-clickbench-record/", "text" => "Learn more"} | NVIDIA CUDA-X Powers the New Sirius GPU Engine for DuckDB, Setting ClickBench Records | Sirius, an open-source GPU native SQL engine, achieved a new performance record on Clickbench—a widely used analytics benchmark. Developed by University of… | false | cuDF | 2\|nvidia cuda-x powers the new sirius gpu engine for duckdb, setting clickbench records | 1765790311 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/migrate-apache-spark-workloads-to-gpus-at-scale-on-amazon-emr-with-project-aether/", "text" => "Learn more"} | Migrate Apache Spark Workloads to GPUs at Scale on Amazon EMR with Project Aether | Data is the fuel of modern business, but relying on older CPU-based Apache Spark pipelines introduces a heavy toll. They’re inherently slow… | false | RAPIDS | 2\|migrate apache spark workloads to gpus at scale on amazon emr with project aether | 1765969200 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/optimize-supply-chain-decision-systems-using-nvidia-cuopt-agent-skills/", "text" => "Learn more"} | Optimize Supply Chain Decision Systems Using NVIDIA cuOpt Agent Skills | Modern supply chains operate under the constant pressures of fluctuating demand, volatile costs, constrained capacity, and interdependent decision-making. | false | CUDA, cuOpt | 2\|optimize supply chain decision systems using nvidia cuopt agent skills | 1777902905 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/boosting-moe-training-throughput-with-advanced-fusion-kernels/", "text" => "Learn more"} | Boosting MoE Training Throughput with Advanced Fusion Kernels | Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable… | false | Blackwell, CUDA, cuDNN, cuGraph, GB200 | 2\|boosting moe training throughput with advanced fusion kernels | 1781516741 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/winning-a-kaggle-competition-with-generative-ai-assisted-coding/", "text" => "Learn more"} | Winning a Kaggle Competition with Generative AI–Assisted Coding | In March 2026, three LLM agents generated over 600,000 lines of code, ran 850 experiments, and helped secure a first-place finish in a Kaggle playground… | false | cuDF, cuML | 2\|winning a kaggle competition with generative ai-assisted coding | 1776950102 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/reducing-cuda-binary-size-to-distribute-cuml-on-pypi/", "text" => "Learn more"} | Reducing CUDA Binary Size to Distribute cuML on PyPI | Starting with the 25.10 release, pip-installable cuML wheels can now be downloaded directly from PyPI. No more complex installation steps or managing Conda… | false | CUDA, cuML, cuVS, RAPIDS | 2\|reducing cuda binary size to distribute cuml on pypi | 1765791000 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/build-your-own-transaction-foundation-model-for-financial-intelligence/", "text" => "Learn more"} | Build Your Own Transaction Foundation Model for Financial Intelligence | Every swipe, transfer, and payment on a modern financial network encodes a pattern of human behavior. Transaction data is one of the richest signals an… | false | CUDA, NeMo, RAPIDS | 2\|build your own transaction foundation model for financial intelligence | 1781616608 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/designing-gpu-accelerated-query-engines-with-nvidia-gqe/", "text" => "Learn more"} | Designing GPU-Accelerated Query Engines with NVIDIA GQE | GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advances—including high bandwidth memory (HBM)… | false | cuDF, nvComp | 2\|designing gpu-accelerated query engines with nvidia gqe | 1782815803 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/building-an-analysis-ai-agent-for-industrial-alarm-management-with-nvidia-nemotron/", "text" => "Learn more"} | Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron | Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context… | false | Blueprint, CUDA, cuDF, NeMo Retriever, Nemotron, NIM | 2\|building an analysis ai agent for industrial alarm management with nvidia nemotron | 1783418400 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/running-low-latency-analytical-workloads-with-gpu-accelerated-presto-on-nvidia-gb200-nvl72/", "text" => "Learn more"} | Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72 | Presto is an open source, distributed SQL engine for running fast, interactive queries on very large datasets. On NVIDIA GPUs, Presto delivers peak performance… | false | ConnectX, cuDF, GB200, NVLink | 2\|running low-latency analytical workloads with gpu-accelerated presto on nvidia gb200 nvl72 | 1783501525 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/how-to-self-host-a-validated-ai-coding-assistant-with-nvidia-nemo-guardrails/", "text" => "Learn more"} | How to Self-Host a Validated AI Coding Assistant with NVIDIA NeMo Guardrails | Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source… | false | AI Workbench, NeMo, NeMo Guardrails, NIM | 2\|how to self-host a validated ai coding assistant with nvidia nemo guardrails | 1785318405 | Blog | Intermediate | | {"url" => "https://developer.nvidia.com/blog/run-massive-scale-umap-in-minutes-using-multiple-gpus-without-losing-accuracy/", "text" => "Learn more"} | Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy | Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. | false | cuML, cuVS, DGX, H100 | 2\|run massive-scale umap in minutes using multiple gpus-without losing accuracy | 1787046488 | Blog | Intermediate | [Download the raw results data (JSON)](https://developer.nvidia.com/search-data/ll_data_science.json)