NVIDIA

# NVIDIA

## NVIDIA Glossary

- [The Official NVIDIA Glossary | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary.md): The definitive guide to our glossary of terms, related acronyms, technologies, and products. 
- [What Is Spatial Computing? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/spatial-computing.md): Spatial computing merges digital data with the physical world in real time, enhancing mixed-reality interactions through devices like AR and VR headsets or smart glasses.
- [What is Physical AI? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/generative-physical-ai.md): Physical AI enables autonomous machines to perceive, understand, and perform complex actions in the real (physical) world.
- [What is Quantum Computing  and Why Does it Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/quantum-computing.md): Quantum computing is a paradigm shifting technology that leverages the laws of quantum physics to solve extremely difficult problems.
- [Glossary Nav] (https://www.nvidia.com/en-us/glossary/glossary-nav.md): Glossary Nav.
- [What is High-Performance Computing (HPC)?  | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/high-performance-computing.md): HPC computer systems are characterized by their high-speed processing power, high-performance networks, and large-memory capacity.
- [What is Power Efficiency & Why is it Important ? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/power-efficiency.md): Power efficiency is the maximization of how much computing work and data movement is accomplished per unit of electricity consumed.
- [What is Energy Efficiency & Why is it Important? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/energy-efficiency.md): Energy efficiency refers to a system or device’s ability to use as little energy as possible to perform a particular task or function within acceptable limits.
- [What Is Deep Learning and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/deep-learning.md): Deep learning is a machine learning method and subset of artificial intelligence (AI). It uses artificial neural networks to recognize patterns in data, similar to the way the human brain operates.
- [What Is Google’s BERT and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/bert.md): BERT (Bidirectional Encoder Representations from Transformers) is a deep learning model developed by Google for NLP pre-training and fine-tuning.
- [What is a Recommendation System? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/recommendation-system.md): A recommendation system is an artificial intelligence or AI algorithm, usually associated with machine learning.
- [What is Apache Spark? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/apache-spark.md): Apache Spark is an open-source framework for processing big data tasks in parallel across clustered computers. <br/>.
- [What is Machine Learning and  Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/machine-learning.md): Machine learning is a subset of artificial intelligence (AI) that uses algorithms or statistical models to automatically learn experiences without explicit programming or human intervention.
- [What is Artificial Intelligence and Why Does it Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/artificial-intelligence.md): Artificial intelligence is the ability of a computer program or machine to think and learn without encoded demands. The self-learning functionality of AI systems allows businesses and organizations to accomplish tasks that include image recognition, natural language speech recognition, language translation, and more.
- [What is Dask? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/dask.md): Dask is an open source flexible library for  parallel and distributed computing in Python.
- [What Is TensorFlow? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/tensorflow.md): TensorFlow is the world’s most popular open-source library designed for developing and deploying state-of-the-art machine learning algorithms.
- [What Is Pandas and Why Does it Matter?  | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/pandas-python.md): Pandas is an open-source software library built on Python for data analysis and data manipulation.
- [What Is Convolutional Neural Network ?| NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/convolutional-neural-network.md): A convolutional neural network (CNN) is a type of deep learning network used primarily to identify and classify images and to recognize objects within images. This deep learning network delivers the best results for mapping image data and has high computational efficiency.
- [What is Conversational AI? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/conversational-ai.md): Conversational AI is a complex form of artificial intelligence that uses  a combination of technologies.
- [What Is XGBoost and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/xgboost.md): XGBoost is an open-source software library that implements machine learning algorithms under the Gradient Boosting framework. XGBoost is growing in popularity and used by many data scientists globally to solve problems in regression, classification, ranking, and user-defined prediction challenges.
- [What Is Kubernetes and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/kubernetes.md): Kubernetes is an open-source orchestration platform for managing workloads and services encapsulated in software containers.
- [What Is NetworkX and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/networkx.md): NetworkX is a package for the Python programming language that’s used to create, manipulate, and study the structure, dynamics, and functions of complex networks.
- [What Is Apache MXNet and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/mxnet.md): Apache MXNet is a flexible and scalable deep learning framework that supports many deep learning models and languages. It’s a flexible, general-purpose framework with popular use cases ranging from mobile apps to autonomous vehicles.
- [What is PyTorch? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/pytorch.md): PyTorch is a fully featured framework for building deep learning models, which is a type of machine learning.
- [What is Graph Analytics and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/graph-analytics.md): Graph analytics is a package for the Python programming language that’s used to create, manipulate, and study the structure, dynamics, and functions of complex networks.
- [What is scikit-learn? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/scikit-learn.md): scikit-learn is a widely used open-source library in the Python ecosystem, designed specifically for machine learning-related tasks.
- [What Is Random Forest  and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/random-forest.md): Random forests, or random decision forests, are supervised classification algorithms that use a learning method consisting of a multitude of decision trees. The output is the consensus of the best answer to the problem.
- [What Is Numba  and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/numba.md): Numba is an open-source, just-in-time compiler for Python code that developers can use to accelerate numerical functions on both CPUs and GPUs using standard Python functions.
- [What is Natural Language Processing? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/natural-language-processing.md): NLP is a technology that leverages computers and software to derive meaning from human language.
- [What Are Linear and Logistic Regression? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/linear-regression-logistic-regression.md): Linear and logistic regression are techniques for determining how a dependent variable is affected by one or more independent variables.
- [What Is NumPy and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/numpy.md): NumPy is a free, open-source Python library for n-dimensional array processing and numerical computing.
- [What is Text to Speech? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/text-to-speech.md): Text-to-speech is a form of speech synthesis that converts any string of text characters into spoken output.
- [What is Stream Processing? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/stream-processing.md): Stream processing is the continuous processing of new data events as they are received.
- [What Is Sentiment Analysis and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/sentiment-analysis.md): Sentiment analysis is the automated interpretation and classification of emotions from textual data such as written reviews and social media posts.
- [What is Speech to Text? | Data Science | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/speech-to-text.md): Automatic speech recognition (ASR) is the combination of processes and software <br/>that decode human speech and convert it to digitized text.
- [What Is Cluster Analysis ? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/clustering.md): Cluster analysis is the grouping of objects based on their characteristics such that there is high intra-cluster similarity and low inter-cluster similarity.
- [What Is K-Means Clustering Algorithm? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/k-means.md): K-means is a clustering algorithm—one of the simplest and most popular unsupervised machine learning (ML) algorithms for data scientists.
- [What Is Computer vision and Why Does It Matter? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/computer-vision.md): As a sub-group of AI and deep learning, computer vision trains convolutional neural networks to develop human-like vision capabilities for applications.
- [What are Large Language Models?  | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/large-language-models.md): Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets.
- [What is Generative AI and How Does it Work? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/generative-ai.md): Generative AI enables users to quickly generate new content based on a variety of inputs. Learn all about the benefits, applications, challenges & more.
- [What is Retrieval-Augmented Generation (RAG)? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/retrieval-augmented-generation.md): RAG enhances large language model prompts with relevant data for more practical, accurate responses. Learn all about the architecture and more.
- [What is a Vector Database and How Does it Work?  | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/vector-database.md): A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time.
- [What Is a Digital Twin? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/digital-twin.md): Digital twins are virtual representations of products, processes, and facilities that enterprises use to design, simulate, and operate their physical counterparts.
- [What is a Product Configurator? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/product-configurator.md): A product configurator is a visualization tool that allows users to customize products in real time.
- [What is Synthetic Data Generation (SDG)? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/synthetic-data-generation.md): The process of creating text, 2D or 3D images in the visual and non-visual spectrum from computer simulations, generative AI models, or a combination of the two.
- [What is Robot Learning? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/robot-learning.md): Robot learning is a collection of algorithms and methodologies that help a robot learn new skills such as manipulation, locomotion, and more.
- [What are Humanoid Robots and Why do They Matter?  | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/humanoid-robot.md): Humanoids are general-purpose, bipedal robots modeled after the human form factor and  designed to work alongside humans to augment productivity.
- [What are Vision-Language Models? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/vision-language-models.md): Vision Language Models (VLMs) are multimodal generative AI models capable of reasoning over text, image and video prompts.
- [What is Reinforcement Learning? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/reinforcement-learning.md): Reinforcement learning (RL) is a type of machine learning technique that enables robots to make intelligent decisions by learning from experience.
- [What is AlphaFold2? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/alphafold2.md): AlphaFold2 is a machine learning model developed by Google DeepMind in 2020 to accurately predict 3D protein structures from amino acid sequences.
- [What is Virtual Screening? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/virtual-screening.md): A computational technique used in drug discovery to evaluate large libraries of small molecules or compounds to identify potential drug candidates.
- [What is Speech AI? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/speech-ai.md): Speech AI is a subset of conversational AI and includes automatic speech recognition (ASR) for converting spoken language into text and text-to-speech (TTS).
- [What is Small Molecule Hit Identification (Hit ID) ? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/hit-identification.md): Hit identification, also known as hit finding or hit discovery, is the process of discovering small drug-like molecules that can potentially bind to a specific biological target.
- [What are World Foundation Models? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/world-models.md): World foundation models are neural networks that simulate real-world environments and predict accurate outcomes based on text, image, or video input.
- [What are AI Agents? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/ai-agents.md): AI agents are software programs powered by generative AI, designed to autonomously perform tasks based on high-level instructions.
- [What Is Sensor Simulation? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/sensor-simulation.md): Sensor simulation replicates real-world sensor behavior, enabling safe AI training, testing, and validation for robotics, automotive, and industrial use.
- [What Are Multimodal Large Language Models? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/multimodal-large-language-models.md): MLLMs are deep learning algorithms that can understand and generate various forms of content ranging across text, images, video, audio, and more.
- [What is Chain of Thought (CoT) Prompting?  | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/cot-prompting.md): Chain of Thought (CoT) is a prompt engineering technique that helps large language models (LLMs) reason more accurately.
- [What is Polars? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/polars.md): Polars is an open-source DataFrame library for data manipulation and analysis. It is implemented in Rust and uses Apache Arrow’s columnar memory format for efficient data processing.
- [What is Machine Learning Operations (MLOps)? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/mlops.md): A set of practices and principles that aims to streamline the development, deployment, and maintenance of machine learning (ML) models in production environments.
- [Data flywheel: What it is and how it works | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/data-flywheel.md): A data flywheel is a feedback loop where data collected from interactions or processes is used to continuously refine AI models, which in turn generates better outcomes and more valuable data.
- [What is Embodied AI? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/embodied-ai.md): Embodied AI refers to the integration of artificial intelligence into physical systems, enabling them to interact with the physical world.
- [What is Industrial AI? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/industrial-ai.md): Industrial AI is a critical enabler of industrial automation, enhancing the ability of machines, systems, and processes to operate with minimal human intervention.
- [What are Multi-Agent Systems? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/multi-agent-systems.md): Multi-agent systems are a collection of specialized AI agents that work together to solve a complex problem. Also known as teams of agents.
- [What is an AI Factory? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/ai-factory.md): An AI factory is a specialized computing infrastructure designed for the entire AI life cycle.
- [What is AI Inference? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/ai-inference.md): AI inference helps solve advanced application deployment challenges by bringing machine learning and artificial intelligence technology to the real world.
- [AI-RAN: What it is and why it matters. | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/ai-ran.md): Learn all about AI Radio Access Networks (AI-RAN) and how they transform 6g mobile networks with AI.
- [What is AI Reasoning? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/ai-reasoning.md): AI reasoning is the ability of artificial intelligence systems to analyze and solve complex problems through multiple AI inference passes.
- [What is Mixed Integer Programming (MIP)? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/mixed-integer-programming.md): MIP is a powerful tool widely used in operations research and decision science to solve complex optimization problems.
- [What is Imitation Learning? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/imitation-learning.md): Imitation learning is a machine learning approach in which an agent learns to perform tasks or acquire new skills by observing and mimicking demonstrations provided by an expert.
- [Autonomous Vehicles (Self-Driving Cars) & How They Work? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/autonomous-vehicles.md): Autonomous vehicles (AVs), also known as self-driving cars or self-driving vehicles, can navigate and operate safely without human input or intervention.
- [What is 3D Reconstruction? | NVIDIA Glossary] (https://www.nvidia.com/en-us/glossary/3d-reconstruction.md): Learn what 3D reconstruction is and how neural reconstruction works.

## GeForce

- [GeForce Official Site: Graphics Cards, Gaming Laptops & More] (https://www.nvidia.com/en-us/geforce.md): Explore the world's most advanced graphics cards, gaming solutions, AI technology, and more from NVIDIA GeForce.
- [GeForce RTX 20 Series Graphics Cards and Laptops | NVIDIA] (https://www.nvidia.com/en-us/geforce/20-series.md): Get up to 6X the gaming performance of previous-generation graphics cards and the power of real-time ray tracing and AI.
- [The NVIDIA Ada Lovelace Architecture | NVIDIA] (https://www.nvidia.com/en-us/geforce/ada-lovelace-architecture.md): The Ada GPU architecture has been designed to provide revolutionary performance for ray tracing and AI-based neural graphics.
- [GeForce RTX: Your Ultimate Live Streaming Solution | NVIDIA] (https://www.nvidia.com/en-us/geforce/broadcasting.md): Top live streaming quality, maximum performance and powerful next-gen AI effects. Get it all with NVIDIA GeForce GPUs, the best solution for broadcasting.
- [NVIDIA Broadcast App: AI-Powered Voice and Video | NVIDIA] (https://www.nvidia.com/en-us/geforce/broadcasting/broadcast-app.md): Transform your livestreams, voice chats, and video calls with powerful AI effects like noise removal and virtual background.
- [NVIDIA Broadcast App FAQs  | NVIDIA] (https://www.nvidia.com/en-us/geforce/broadcasting/broadcast-app/faq.md): Answers to some of the most frequently asked questions about the NVIDIA Broadcast App.
- [Broadcast App Release Highlights | NVIDIA] (https://www.nvidia.com/en-us/geforce/broadcasting/broadcast-app/release-notes.md): Find current and previous release highlights for the NVIDIA Broadcast App.
- [GeForce Community & GeForce Garage  | NVIDIA] (https://www.nvidia.com/en-us/geforce/community-portal.md): Find cool stuff like wallpapers, screenships, GIFs, GeForce Garage DIY videos, and more.
- [The GeForce RTX #BeyondFast Sweepstakes - Official Rules] (https://www.nvidia.com/en-us/geforce/contests/beyondfast-sweepstakes-official-rules.md): The GeForce RTX #BeyondFast Sweepstakes - Official Rules.
- [NVIDIA GeForce Diablo IV Sweepstakes - Official Rules] (https://www.nvidia.com/en-us/geforce/contests/diablo-iv-sweepstakes-official-rules.md): NVIDIA GeForce Diablo IV Sweepstakes - Official Rules.
- [NVIDIA GeForce Summer of RTX 2023 Contest - Official Rules] (https://www.nvidia.com/en-us/geforce/contests/geforce-summer-rtx-2023-contest-official-rules.md): NVIDIA GeForce Summer of RTX 2023 Contest - Official Rules.
- [NVIDIA GeForce Summer of RTX 2023 Sweepstakes - Official Rules] (https://www.nvidia.com/en-us/geforce/contests/geforce-summer-rtx-2023-sweepstakes-official-rules.md): NVIDIA GeForce Summer of RTX 2023 Sweepstakes - Official Rules.
- [Portal With RTX Sweepstakes - Official Rules] (https://www.nvidia.com/en-us/geforce/contests/portal-rtx-sweepstakes-official-rules.md): Portal With RTX Sweepstakes - Official Rules.
- [NVIDIA RTX Remix Mod Contest Giveaway | NVIDIA] (https://www.nvidia.com/en-us/geforce/contests/rtx-remix-contest.md): Read carefully the terms and conditions.
- [500 RTX Games & Apps Sweepstakes - Official Rules | Nvidia] (https://www.nvidia.com/en-us/geforce/contests/rtx500-sweepstakes-official-rules.md): 500 RTX Games & Apps Sweepstakes - Official Rules.
- [GeForceSummer of RTX Sweepstakes & Giveaway | NVIDIA] (https://www.nvidia.com/en-us/geforce/contests/summer-of-rtx.md): #GeForceSummer of RTX is back—win RTX 50 Series GPUs, powerful gaming PCs, and more epic prizes for you and a friend all summer!.
- [GeForce Contest and Sweepstakes Winners | NVIDIA] (https://www.nvidia.com/en-us/geforce/contests/winners.md): Discover the winners of the NVIDIA GeForce Contest and Sweepstakes and dive into our comprehensive list to discover the names of the talented winners.
- [Official GeForce Drivers | NVIDIA] (https://www.nvidia.com/en-us/geforce/drivers.md): Download the latest official GeForce drivers to enhance your PC gaming experience and run apps faster.
- [Drivers] (https://www.nvidia.com/en-us/geforce/drivers/results.md): Download the <dd~LanguageName> <dd~Name> for <dd~OSName> systems. Released <dd~ReleaseDateTime>.
- [R.O.N. AI Personal Assistant for Gaming | NVIDIA GeForce] (https://www.nvidia.com/en-us/geforce/ron-ai-personal-assistant.md): Introducing R.O.N. Your personal gaming AI assistant. New RageConverter and TrollDestroyer technologies help you go for the win!.
- [R.O.N. AI Assistant Wallpaper Download | NVIDIA GeForce] (https://www.nvidia.com/en-us/geforce/ron-ai-personal-assistant/wallpaper.md): R.O.N. It just works! Show your support for R.O.N., the newest AI Assistant! Download today!.