- CUDA-X AI: This is NVIDIA’s suite of tools, libraries, and technologies for AI and data science applications. It includes libraries like cuDNN, cuBLAS, and TensorRT, among others, optimized for AI workloads on NVIDIA GPUs.
- TensorRT: It’s an inference optimizer and runtime for deep learning models. TensorRT optimizes and deploys trained neural networks in production environments.
- Triton Inference Server: Triton is an open-source inference serving software that simplifies deployment of AI models at scale in production environments.
- NeMo: NVIDIA NeMo is a conversational AI toolkit that helps developers and researchers build, train, and deploy automatic speech recognition (ASR) and natural language understanding (NLU) models.
- cuDNN: The CUDA Deep Neural Network library provides highly optimized primitives for deep learning operations on NVIDIA GPUs.
- NCCL: NVIDIA Collective Communications Library is a library for accelerating multi-GPU and multi-node communication in parallel computing.
- DALI: NVIDIA Data Loading Library (DALI) is a GPU-accelerated library for data preprocessing and augmentation for deep learning tasks.
- cuBLAS: CUDA Basic Linear Algebra Subprograms (cuBLAS) is a GPU-accelerated library for linear algebra operations.
- cuSPARSE: It’s a library for sparse matrix operations on NVIDIA GPUs, optimized for performance and efficiency.
- Optical Flow SDK: This SDK provides tools and libraries for developers working on optical flow applications, such as motion estimation and tracking.
- RAPIDS: RAPIDS is a suite of open-source software libraries and APIs for accelerating data science and analytics workflows on GPUs.
- DOCA: Data Center GPU-accelerated Computing Architecture (DOCA) is a framework for building and deploying accelerated applications in data centers.
- CLARA: NVIDIA Clara is an AI-powered healthcare platform that includes tools for medical imaging, genomics, and drug discovery.
- Clara Guardian: Part of the Clara platform, Clara Guardian focuses on medical IoT and healthcare device security.
- Clara Parabricks: Clara Parabricks offers accelerated genomics analysis for research and clinical applications.
- HPC: High-Performance Computing refers to the use of parallel processing for solving complex computational problems quickly and efficiently.
- HPC SDK: The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools for developing HPC applications on NVIDIA GPUs.
- CUDA Toolkit: It’s a development environment for building GPU-accelerated applications. CUDA includes libraries, tools, and APIs for CUDA development.
- OpenACC: OpenACC is a directive-based programming model for parallel computing on accelerators like GPUs.
- IndeX: NVIDIA IndeX is a platform for interactive visualization and analysis of large-scale scientific and medical datasets.
- CUDA-X Libraries: A collection of libraries optimized for CUDA development, including those mentioned earlier like cuDNN, cuBLAS, etc.
- Developer Tools: NVIDIA provides various developer tools for GPU-accelerated application development, debugging, profiling, and optimization.
- Modulus: Modulus is NVIDIA’s platform for accelerated computing in the automotive industry.
- cuLitho: cuLitho is a library for lithography simulation and optimization on GPUs.
- Quantum Computing: NVIDIA is involved in quantum computing research and development, exploring ways to leverage GPUs for quantum computing workloads.
- CUDA Quantum: This likely refers to NVIDIA’s efforts in quantum computing, although specific details may not be publicly available.
- cuQuantum: Similarly, this likely pertains to quantum computing efforts on NVIDIA GPUs.
- DRIVE: NVIDIA DRIVE is a platform for autonomous vehicles, providing hardware and software solutions for self-driving cars.
- DRIVE AGX: DRIVE AGX is a series of scalable AI compute platforms for autonomous driving applications.
- DRIVE OS: It’s an operating system designed for autonomous vehicles and integrated with the DRIVE platform.
- DriveWorks: DriveWorks is a software development kit (SDK) for autonomous driving systems, providing tools for perception, mapping, and planning.
- DRIVE Sim: NVIDIA DRIVE Sim is a simulation platform for testing and validating autonomous driving algorithms and systems.
- ISAAC: NVIDIA Isaac is a robotics platform that includes hardware and software components for building and deploying intelligent robots.
- Isaac SDK: It’s the software development kit for the NVIDIA Isaac platform, offering tools and libraries for robot development.
- Isaac Sim: Isaac Sim is a simulation environment for training and testing robotic algorithms in realistic virtual environments.
- Jetson Developer Kits: NVIDIA Jetson is a series of embedded computing platforms for AI and robotics applications, and the developer kits provide tools for developing on these platforms.
- Jetpack: Jetpack is the SDK for NVIDIA Jetson devices, offering libraries, tools, and APIs for developing AI applications.
- RTX: NVIDIA RTX refers to the RTX series of GPUs, known for their real-time ray tracing capabilities and AI performance.
- DLSS: Deep Learning Super Sampling (DLSS) is a technology by NVIDIA for improving gaming performance using AI-based upscaling.
- Kickstart RT: This could refer to initiatives or tools related to real-time ray tracing (RT).
- Micro-Mesh: This term isn’t directly associated with any known NVIDIA project or technology.
- OptiX: NVIDIA OptiX is a ray tracing API for GPU-accelerated rendering applications.
- RTX Dynamic Illumination: Part of NVIDIA’s RTX capabilities, Dynamic Illumination enhances real-time lighting effects in graphics.
- RTX Global Illumination (RTXGI): RTXGI is a real-time global illumination solution for games and interactive applications.
- RTX Memory Utility (RTXMU): RTXMU provides tools for managing memory usage on RTX GPUs.
- RTX Path Tracing: A rendering technique that simulates the behavior of light to create highly realistic images.
- Real-Time Denoisers (NRD): NVIDIA Real-Time Denoisers are algorithms for reducing noise in rendered images in real-time applications.
- Reflex: NVIDIA Reflex is a technology for reducing system latency in gaming, improving responsiveness.
- Streamline: NVIDIA Streamline is a performance analysis tool for profiling GPU-accelerated applications.
- Metropolis: NVIDIA Metropolis is a platform for smart city solutions, including technologies for video analytics and traffic management.
- Metropolis SDK: The SDK for developing applications on the NVIDIA Metropolis platform.
- DeepStream SDK: NVIDIA DeepStream SDK is for building and deploying AI-powered video analytics applications.
- TAO Toolkit: NVIDIA TAO (Train, Adapt, Optimize) Toolkit is for training and fine-tuning deep learning models for various applications.
- Metropolis Microservices: This likely refers to microservices architecture for deploying AI solutions on the Metropolis platform.
- Metropolis for Factories: NVIDIA Metropolis solutions tailored for industrial automation and factory environments.
- Simulation: NVIDIA offers simulation tools and platforms for various industries, including automotive, robotics, and healthcare.
- Avatar Cloud Engine (ACE): ACE is NVIDIA’s platform for cloud gaming and streaming services.
- Universal Scene Description (OpenUSD): OpenUSD is an open-source scene description format for 3D graphics interchange.
- Omniverse: NVIDIA Omniverse is a platform for collaborative 3D design and simulation.
- Aerial: NVIDIA Aerial is a platform for telcos and service providers for building and deploying AI applications in 5G networks.
- Arm: NVIDIA works with Arm on various projects, including AI and HPC initiatives.
- CloudXR: NVIDIA CloudXR is a platform for streaming VR and AR content from the cloud to devices.
- DGX: NVIDIA DGX is a series of AI supercomputers built for training and inference tasks.
- Holoscan SDK: This likely pertains to SDKs for holographic scanning and imaging technologies.
- Riva: NVIDIA Riva is a platform for building and deploying conversational AI applications.
- Maxine: NVIDIA Maxine is a platform for building AI-powered video conferencing applications.
- Merlin: NVIDIA Merlin is a platform for real-time recommender systems and personalization.
- cuOpt: This term isn’t directly associated with any known NVIDIA project or technology.
- Rivermax: Rivermax is a technology for streaming real-time video and audio over networks.
- TAO: TAO Toolkit, as mentioned earlier, is for training and optimizing deep learning models.
- Converged Accelerator: This could refer to accelerators that integrate multiple functions or capabilities, such as AI and HPC.
- Morpheus: NVIDIA Morpheus is a platform for cybersecurity that uses AI to detect and respond to security threats in real-time.
If you need more detailed information about any specific platform or technology, visit https://developer.nvidia.com/