

NVIDIA® Riva is a set of GPU-accelerated multilingual speech and translation microservices for building fully customizable, real-time conversational AI pipelines. Riva includes automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) and is deployable in all clouds, in data centers, at the edge, and on embedded devices. With Riva, organizations can add speech and translation interfaces with large language models (LLMs) and retrieval-augmented generation (RAG) to transform chatbots into engaging, expressive multilingual assistants and avatars.

NVIDIA Omniverse™ is a comprehensive platform designed to facilitate the development of physical AI applications, including industrial digital twins and robotics simulations. By leveraging NVIDIA's expertise in accelerated computing and artificial intelligence, Omniverse provides developers with a suite of libraries and microservices that integrate seamlessly into existing software tools and simulation workflows. Key Features and Functionality: - OpenUSD Integration: Omniverse utilizes Universal Scene Description (OpenUSD) to enable seamless data interoperability and the creation of simulation-ready digital twins. - RTX Rendering: The platform offers sensor simulation and physically-based, real-time rendering capabilities through NVIDIA RTX™, allowing for the generation of high-fidelity datasets at scale. - Physics Simulation: With GPU-accelerated physics libraries like NVIDIA PhysX® and NVIDIA Warp, Omniverse supports scalable simulation and modeling of complex physical interactions. - Robot Simulation and Learning: Omniverse provides tools for developing and training robot policies, enabling robots to autonomously sense, plan, and execute tasks in dynamic environments. - Autonomous Vehicle Simulation: The platform enhances autonomous vehicle simulation workflows with high-fidelity, diverse sensor data and realistic behavior modeling to train perception models and validate software stacks. Primary Value and Solutions: NVIDIA Omniverse addresses the challenges of developing and deploying physical AI applications by providing a unified platform that integrates advanced simulation technologies, real-time collaboration, and AI capabilities. It streamlines the creation of digital twins and robotics simulations, reducing development time and costs while improving accuracy and scalability. By offering a suite of interoperable tools and libraries, Omniverse empowers developers to build sophisticated AI-driven applications that can adapt to complex, real-world scenarios.

NVIDIA Iray is a state-of-the-art, physically based rendering technology that produces photorealistic images by simulating the physical behavior of light. Designed for both interactive and batch rendering workflows, Iray leverages advanced technologies such as AI denoising, CUDA, NVIDIA OptiX, and the Material Definition Language (MDL) to deliver exceptional performance and visual fidelity. When paired with NVIDIA RTX-based hardware, Iray enables rapid rendering, allowing designers and artists to visualize their creations with unprecedented speed and accuracy. Key Features and Functionality: - NVIDIA RTX Support: Iray utilizes dedicated ray-tracing acceleration hardware (RT Cores) and an advanced acceleration structure to enable real-time ray tracing in graphics applications. - AI Denoising: By harnessing Tensor Cores on the latest NVIDIA hardware, Iray employs deep learning techniques to accelerate the completion of final images and enhance interactive rendering, providing smoother and more efficient workflows. - Material Definition Language (MDL): MDL allows for the definition of complex material properties, including surface color, reflection, refraction, light emission, and additional geometric attributes like cut-outs and bump maps, facilitating the creation of realistic materials. - Multi-GPU and Multi-Machine Support: Iray supports any combination of GPUs and CPUs within a single machine and offers control over resource allocation, making multi-GPU systems ideal for demanding rendering tasks. - Advanced Rendering Features: Iray includes capabilities such as light path expressions, emissive geometry, caustics, spectral rendering, OpenVDB support, photometric lights, instancing, rounded corners, section planes, decals, depth of field, motion blur, stereo viewing, panoramic snapshots, hair/fur rendering, volume rendering, subsurface scattering, and more. Primary Value and User Solutions: NVIDIA Iray addresses the need for high-quality, physically accurate rendering in various industries, including design, architecture, and visual effects. By providing rapid, photorealistic visualizations, Iray enables professionals to make informed design decisions, reduce reliance on physical prototypes, and accelerate time-to-market. Its integration with NVIDIA's latest hardware and AI technologies ensures that users can achieve exceptional rendering performance, enhancing creativity and productivity in their workflows.

NVIDIA AI Enterprise is a comprehensive, cloud-native software platform designed to accelerate the development and deployment of production-grade AI applications, including generative AI, computer vision, and speech AI. It offers over 100 frameworks, pretrained models, and development tools, providing enterprise-grade security, stability, and support to streamline AI workflows and ensure business continuity. Key Features and Functionality: - Extensive AI Tools: Access to a vast array of frameworks and pretrained models to facilitate diverse AI applications. - Enterprise-Grade Support: Regular security patches, API stability, and end-to-end management software to maintain robust and secure AI operations. - Cloud-Native and Hybrid Compatibility: Optimized for deployment across public clouds, virtualized data centers, and on-premises infrastructure, ensuring flexibility and scalability. - Generative AI Enablement: Includes tools like NVIDIA NeMo for customizing pretrained foundation models to meet specific business needs. Primary Value and Solutions Provided: NVIDIA AI Enterprise simplifies the AI development lifecycle by offering a unified platform that reduces development time and costs while improving accuracy and performance. By providing a secure and stable environment, it mitigates the risks associated with open-source software, ensuring reliable and efficient AI deployments for mission-critical applications. Its compatibility with various deployment environments allows organizations to develop applications once and deploy them anywhere, facilitating a seamless transition from pilot projects to full-scale production.

NVIDIA Chat with RTX enables you to create a personalized AI chatbot with advanced localization capabilities.

NVIDIA Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes libraries, methods, and tools that streamline the building of recommenders by addressing common preprocessing, feature engineering, training, inference, and deploying to production challenges. Merlin components and capabilities are optimized to support the retrieval, filtering, scoring, and ordering of hundreds of terabytes of data, all accessible through easy-to-use APIs. With Merlin, better predictions, increased click-through rates, and faster deployment to production are within reach.

VRWorks is a comprehensive suite of APIs, libraries, and engines that enable application and headset developers to create amazing virtual reality experiences.

The NVIDIA DGX-1 is a purpose-built deep learning system designed to accelerate AI research and development. Combining powerful hardware with an optimized software stack, it delivers exceptional computational performance, enabling data scientists and researchers to train complex deep neural networks efficiently. The DGX-1 integrates eight NVIDIA Tesla V100 GPUs, interconnected via NVIDIA NVLink, providing up to 1 petaFLOPS of half-precision (FP16 performance. This system is engineered to handle the most demanding AI workloads, offering a turnkey solution that simplifies deployment and accelerates time to insight. Key Features and Functionality: - High-Performance GPUs: Equipped with eight NVIDIA Tesla V100 GPUs, each featuring 32GB of memory, the DGX-1 delivers unparalleled processing power for deep learning tasks. - Advanced Interconnectivity: Utilizes NVIDIA NVLink technology, providing high-speed GPU-to-GPU communication at 300 GB/s per GPU, significantly enhancing data throughput and reducing training times. - Comprehensive Software Stack: Comes pre-installed with the NVIDIA Deep Learning GPU Training System (DIGITS, CUDA Deep Neural Network library (cuDNN, and optimized versions of popular deep learning frameworks such as TensorFlow, PyTorch, and Caffe, facilitating seamless development and deployment of AI models. - Robust Storage and Memory: Features 512GB of system memory and a 7TB SSD deep learning cache, ensuring efficient data handling and storage capabilities. - Scalable Networking: Includes dual 10GbE and quad InfiniBand 100Gb networking interfaces, supporting high-bandwidth data transfer and scalability for large-scale AI projects. Primary Value and Problem Solved: The NVIDIA DGX-1 addresses the computational challenges inherent in deep learning and AI research by providing a fully integrated, high-performance system that accelerates model training and deployment. By delivering the equivalent performance of hundreds of traditional servers in a single unit, the DGX-1 reduces infrastructure complexity, lowers operational costs, and shortens development cycles. This enables organizations to focus on innovation and discovery, transforming vast datasets into actionable insights more rapidly and effectively.

Cumulus Networks is leading the transformation of bringing web-scale networking to enterprise cloud. Its network switch, Cumulus Linux, is the only solution that allows you to affordably build and efficiently operate your network like the world's largest data center operators, unlocking vertical network stacks.


Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.