Alternatives to NVIDIA DRIVE

DriveMod is Cyngn’s full-stack autonomous driver solution. It can be integrated with existing sensing and computing hardware to allow industrial vehicles to perceive the environment, make decisions and take action. DriveMod is designed to seamlessly integrate into existing workflows, allowing you to program vehicle routes, loops and missions. DriveMod can do anything a human driver can do. Retrofits allow you to safely add autonomous capabilities to any commercially-available vehicle. Drivemod's flexibility allows heterogeneous fleets to operate seamlessly regardless of vehicle manufacturer or type. Our AI software is able to combine leading sensors and computing hardware to provide capabilities far beyond that of human drivers. DriveMod can detect thousands upon thousands of objects and propose thousands of possible paths to navigate the best route. All this in a fraction of a second.

From ADAS to self-driving systems for autonomous public transportation or goods delivery to consumer AVs, we have it all. We can achieve AV at scale by developing everything in-house - from the silicon to the self-driving systems. Mobileye developed its hardware and software in house from the start, paving the path for highly efficient hardware, algorithms, and software at a superior price-performance ratio. Mobileye's products are safe by design and have a distinct strategy to reach the mass market.

We license AI software across the L2-L4 autonomous stack, including perception, intent modeling and path planning. Perception and intent prediction with the highest accuracy, leading to safer autonomous systems. Unsupervised learning allows for learning from large datasets. Our technologies are capital-efficient by several orders of magnitude, enabling a much lower cost of developing. Helm.ai's full scene vision-based segmentation combined with Ouster's Lidar SLAM output. Helm.ai L2+ autonomous driving across highways 280, 92, 101 and lane-keeping with ACC lane changes. Helm.ai pedestrian segmentation with key-point predictions. Pedestrian segmentation with keypoint detection. Corner cases for rain lane detection and Lidar-vision Fusion. Full scene semantic segmentation. Botts dots and faded lane markings.

Selenium, our flagship product, is a full-stack autonomous system. It was developed over 500 person years. A suite of software that can be installed on-board a vehicle, with a drive-by wire interface and very minimal compute hardware, gives full autonomy to a land-based car. Selenium can transform any vehicle platform into an autonomous vehicle at both prototype volume and scale. It's a collection interoperable software modules that allows the vehicle to answer three key questions: Where am I? What's happening around me? What should I do next? Selenium covers the entire technological spectrum. It includes low-level device drivers through calibration, 4-modal localization and mapping. It also has remarkable vertical integration that even covers data export and user interface. It doesn't even require GPS or HD-Maps, although this can still be used if they are available.

Multiple sensors, including radar, cameras, LiDAR, and cameras, collect environmental data around the vehicle. Sensor fusion technology perception algorithms can detect in real-time the type, location and velocity of objects on the road using sensor fusion technology. This autonomous perception system is supported by both Baidu's deep learning and big data technologies. It also has access to a large collection of real-world labeled driving data. The large-scale deep-learning platform, GPU clusters. Simulating allows you to drive millions of kilometers every day using a variety of real-world traffic and autonomous driving data. Partner can access a large number autonomous driving scenes through the simulation service to quickly test, validate and optimize models in a safe and efficient manner.

NVIDIA DRIVE®, Map is a multi-modal map platform that enables the highest level of autonomy and safety. It combines ground truth mapping accuracy with fleet-sourced AI mapping to provide freshness and scale. Four layers of localization--camera lidar radar, radar, and GPS--DRIVEMap provides the flexibility and redundancy required by the most advanced AI drivers. DRIVE Map is engineered to achieve the highest accuracy. The ground truth map engine creates dynamic DRIVE Maps by using rich sensors such as radars, cameras, lidars and differential GNSS/IMU. It can achieve accuracy of 5 cm in select environments such as highways or urban environments. DRIVE Map is designed to operate in near real-time and provide global scalability. It is based on both fleet-sourced and ground truth data. It represents the collective memory for millions of vehicles.

Qualcomm® Snapdragon Ride™, Platform is one the most advanced, flexible and customizable automated driving platforms in the automotive industry. It will allow automotive suppliers and manufacturers to easily deploy the safety, convenience, and autonomous driving features they need today. With the potential to scale in future. Auto-ready, reliable performance at low power, with greater simplicity and better automotive safety. The Snapdragon Ride Platform is passively or air-cooled, unlike other autonomous driving solutions that need liquid cooling. Multi-ECU aggregation allows our customizable platform to scale from active safety to convenience to full Self-Driving across more vehicles. The new Snapdragon Ride Autonomous Stack, which is high-performance and energy-efficient, combines with the hardware to create one of the most robust vehicle perceptions and driving brains.

The world's leading provider of automated platforms. A customizable R&D vehicle platform will help you accelerate your work on advanced driver assist systems (ADAS), advanced algorithm design, and automated driving initiatives. It can also help you take your driverless efforts to a new level. This guide will show you how to create your own R&D vehicle platform. AutonomouStuff is part of your team when you buy a platform. An experienced and knowledgeable project manager will keep in touch with you to keep you informed about platform updates and ensure that we are meeting your needs.

The Aurora Driver, which is based on industry-leading hardware, software and firmware, can adapt to a variety vehicle types and use cases. This allows us to deliver the benefits and self-driving technology across many industries, including long-haul trucking and local goods delivery. The Aurora Driver is composed of sensors that see the world, software that plans safe routes through it, and a computer that powers and integrates them all with the vehicle. The Aurora Driver can operate any type of vehicle, from sedans to trucks up to Class 8. The Aurora Computer, which connects our hardware to autonomy software, allows the Aurora Driver seamless integration with all vehicle types. Our custom-designed sensor suite, which includes FirstLight Lidar and long-range imaging radars, creates a 3D representation that gives the Aurora Driver a 360@ view around what's going on around it.

PRODRIVER is Embotech’s solution to the problem motion planning for highly-automated or autonomous vehicles. It is an integral part of the autonomous driving software stack. It is located in the so-called "decision making" layer. PRODRIVER, as a motion planner is responsible for generating drivable trajectories and directly actuator commands like steering, accelerating, and braking. These are calculated based on the environment information. PRODRIVER solves optimization problems in real-time by continuously making predictions. Its most important inputs include information about the drivable area, its obstacles and a goal. This could be a position or an object such as progress along a route. Its outputs can be used to direct control the vehicle, or to set-points for low-level controllers to track the vehicle. This diagram shows how PRODRIVER integrates into a typical autonomous vehicle software platform.

RTMaps is a component-based middleware for development and execution that is highly optimized. RTMaps allows developers to design complex real-time algorithms and systems for their autonomous applications, such as mobile robots and railways. RTMaps offers a variety of benefits to help you develop and execute an application. • Asynchronous data acquisition • Optimised performance • Synchronized recording and playback • Comprehensive component libraries: Over 600 I/O components available • Flexible algorithm development - Share and collaborate Multi-platform processing • Scalable and cross-platform: from PCs, embedded targets, to Cloud. • Rapid prototyping & testing • Integration with dSPACE Tools • Time and Resource Savings • Limiting development risks, errors and effort • Certification ISO26262 ASIL-B: on demand

Cognata provides full product lifecycle simulations for ADAS developers and autonomous vehicle designers. Automatically-generated 3D environments and realistic AI-driven traffic agents for AV simulation. Automated vehicles available in scenario library and easy authoring to create millions AV edge cases. Closed-loop testing and seamless integration For autonomous simulation, you can create rules and visualize them. Measurable and tracked performance. Digital twin grade 3D environments for roads, buildings, or infrastructure. They are accurate to the last lane marking, traffic light, and surface material. An efficient, global, cost-effective and efficient architecture designed for the cloud. Just a few clicks and you can integrate with your CI/CD environment or close-loop simulation. Engineers can easily combine control, fusion and vehicle models using Cognata's scenario, environment, and sensor modeling capabilities.

Aptiv is a global technology company which develops safer, more sustainable and more connected solutions that enable the future mobility. Aptiv's mission is to develop and commercialize autonomous vehicles and systems. These systems enable point-to–point mobility through large fleets of autonomous cars in urban driving environments. Aptiv was founded by a group of talented individuals from all over the world, including Singaporeans and Bostonians. It is the first company to launch a commercial autonomous ride-hailing service in Las Vegas. Aptiv has provided more than 100,000 public passenger rides. 98% of Aptiv's self-driving experience was rated 5-out-of-5 stars by passengers. Aptiv believes that mobility solutions can change the world.

Tronis is a virtual prototyping environment and a place to safeguard driver assistance systems (e.g. For highly automated or autonomous driving A modern 3D engine allows for the efficient mapping of real driving situations and traffic conditions. This can then be used to test, e.g. For radar- and camera-based environment detection. This will allow for the development of corresponding systems to be significantly accelerated and reduce the need to produce prototypes.

We are working to develop safe and reliable autonomous driving technology worldwide. We have accumulated millions of miles in autonomous road testing in complicated scenarios and have a solid foundation to deliver autonomous driver systems at scale. Pony.ai launched Robotaxi service in December 2018. This allows passengers to hail self-driving vehicles via the PonyPilot+ app to begin a new, safe, and enjoyable journey. The service is currently available for use in Guangzhou and Beijing, Irvine, CA, Fremont, CA. We have piloted autonomous mobility in multiple cities in the US and China. This service is currently available to hundreds of riders every single day. These pilots have allowed us to establish a solid technical and operational foundation that will allow us to expand and improve our service. We have come together to address the most difficult tech issues in mobility. Every day, we make concrete progress towards our vision of autonomous mobility everywhere.

Connecting city infrastructures to digital assets and transforming traditional industries for profit, social impact and sustainability. We are a deep-tech, AI driverless car company that develops our full-stack “lift and shift” driverless vehicle platform ConICAV™ for all vehicle types. We retrofit or build driverless vehicles to suit industrial and commercial fleets for a wide range of use cases. ConICAV™, our integrated solution, improves asset management and customer experience. Conigital has received a groundbreaking PS500,000,000 Series A+ funding offer by a global private-equity firm with PS150 Billion under management.

EchoTech.ai is an autonomous platform leveraging it's novel CVAE Transformer model for controlling indoor and outdoor robots in highly dynamic environments. It fully integrates perception and planning into one AI stack that can be applied to any robotic setup.

NVIDIA TensorRT provides an ecosystem of APIs to support high-performance deep learning. It includes an inference runtime, model optimizations and a model optimizer that delivers low latency and high performance for production applications. TensorRT, built on the CUDA parallel programing model, optimizes neural networks trained on all major frameworks. It calibrates them for lower precision while maintaining high accuracy and deploys them across hyperscale data centres, workstations and laptops. It uses techniques such as layer and tensor-fusion, kernel tuning, and quantization on all types NVIDIA GPUs from edge devices to data centers. TensorRT is an open-source library that optimizes the inference performance for large language models.

Momenta is a leader in autonomous driving technology. Momenta is committed to changing the future of mobility and offering solutions that enable multiple levels of autonomous driving. It has pioneered a unique scalable path toward full autonomous driving by combining a data-driven approach with iterating algorithms, referred to as its "flywheel approach", as well as a "two-leg" product strategy focusing on both Mpilot, its mass-production-ready highly autonomous driving solutions, and MSD (Momenta Self-Driving), its driving solution targeting full autonomy. Mpilot is a purpose-built, mass-produced ready highly automated driving software for private vehicles. Mpilot X is our core product. It provides a highly automated end-to-end driving experience, with full scenario coverage and key functions such as Mpilot Highway, Mpilot Urban, and Mpilot Parking.

AI Building Blocks for Intelligent Cars. Carver21 is purpose-built to scale to your perception requirements, whether you need to enable safety features or deliver autonomous driving functions.

* An application platform for autonomous driving systems that recognizes the external environment through various collective information and autonomously drives based on appropriate judgement * Scalable distributed computing environment that supports many-core processors and other types of processors to support advanced computing power for intelligent information processing * Scalable platform that allows software assets can be run on different hardware resources with real time capability to ensure reliability safety

Monitor your vehicles easily Make your driver's commute easier. Optimize your fleet usage. Our team is available to help you. We can help you organize your vehicle fleet. We offer a full range of mobility solutions, including onboard telematics and online supervision platforms. It's never been easier to manage a mobility service. Unlimited mobility for your drivers. Innovative all-inclusive service. For corporate or P2P use.

Analyzing your existing automotive or robotic software systems in order to determine a path to commercialization. Transitioning existing software to Apex.OS. Transitioning your current environment to Apex.OS. Software architecture reviews and recommendations. Functional safety training is provided to your team to help them build a safe autonomous system. Apex.OS is an open-source fork of ROS 2 which has been made reliable, deterministic, and real-time so it can be used in safety critical applications. Apex.OS was developed in sync to future ROS 2 releases. APIs remain compatible with ROS 2. Both Eclipse Cyclone DS™, and Eclipse iceoryx™ have been integrated to create Apex.OS. Both are open-source and have been proven in mission-critical and automotive distributed systems.

We collaborate to create smart solutions that enable clients to make the transition towards sustainable mobility and allow the automotive industry to move forward. We are rapidly moving towards a new automotive future, driven by the convergence IoT, AI, IoT and connected infrastructure. This is a thrilling time that offers the ultimate freedom with zero accidents and zero emissions, as well as zero ownership. This is a great opportunity for society, economy, and the environment. We allow automakers to innovate in vital areas of advanced mobility and automotive technology. We combine the agility, energy, speed, and speed of a startup with enterprise reach, positioning, and manpower to deliver complex solutions in critical environments. In the age of autonomous driving, we can meet your current and future software requirements. You can differentiate yourself with highly personalized and intelligent in vehicle experiences.

Access to all connected cars worldwide is easy and secure. This makes it easier for our partners to solve mobility problems and innovate. The way we travel is changing. We live in a hyper-connected world, and our cars are becoming more connected. Connected car data can provide valuable insights that will help you transform your business and shape the future. Connected car data can be accurate, authentic, and most importantly, it is useful. The data is derived from real vehicles on the road and gives you unparalleled insight into driver behaviours and needs. We work with top vehicle manufacturers to help you access the data and harness its power. The benefits of connected car data for both private and public sector companies are immense. You can use connected car data to locate traffic hotspots, find safety risks, and gain insight into driver patterns.

The future connected car experience is thin client applications and cloud frameworks that enable consumer commerce, in-car multimedia applications, mobile apps, enterprise services, and consumer commerce. Multi-media apps, AI-driven contextual recommendations and content delivery are all possible with the Xevo Journeyware platform. This platform is available for cloud, car, mobile devices. It also offers new monetization opportunities for automakers. The components of the Journeyware connected car platform can be found in more than 25,000,000 vehicles around the world. Xevo Context recommendation engine uses Journeyware's automotive AI technology. It provides a dynamic, hyper-contextual experience. These highly-relevant content are delivered as suggestions and offers based upon drivers' preferences, past behaviors, vehicle location, current route and more.

DeepRoute.ai is committed to providing the best Level 4 full-stack, self-driving solution. We are committed innovating the future transportation system through the power and potential of technology. DeepRoute.ai works with OEMs and mobility companies to commercialize self-driving vehicles. DeepRoute.ai uses technological advances and commercialization to work with OEMs, mobility businesses, and other partners to make self driving more accessible to the public. DeepRoute.ai's planning algorithm and real-time positioning system can use semantic mapping to plan the best route under complicated road conditions and provide a safe, enjoyable, and efficient driving experience.

NODAR has reinvented stereovision using patented algorithms to enable standard cameras deliver unprecedented 3D range and precision. NODAR's 3D vision technology is designed to push the boundaries of what's feasible in automotive and industrial applications. Reliable 3D data is essential for safety and performance, whether it's in passenger vehicles, autonomous trains or monitoring and surveillance. NODAR delivers industry-leading 3D data for autonomous systems in all industries. Autonomy transforms nearly every aspect in society. It boosts output, provides convenience, and enhances safety. Conditions can be difficult and harsh in many outdoor settings. Automated equipment is required to operate 24 hours per day, even in adverse weather conditions, dust, glare and high vibration. NODAR products and technology deliver unmatched data, precision and reliability for safety critical applications that rely on 3D data.

42dot combines cutting edge technology with tailored connected services to optimize moving people and goods. Our goal is to create an autonomous, centralized infrastructure that allows for frictionless and autonomous transportation services. By accelerating the transition to autonomous Transportation-as-a-Service, we hope to bring valuable, life-enhancing products to the market. UMOS is a complete mobility and logistics platform that integrates all types of ground and air transportation services, including e-hailing and fleet management, demand-responsive transport and smart logistics. The platform has multiple layers of functionality and is built with robust technology that allows for enterprise-level scale. UMOS aims at creating an ecosystem where we don't have to worry about how to get around. UMOS will manage our mobility and all aspects of being in motion.

Safety Platform for Drivers and Fleets. Only AI technology that impacts driver behavior in real time. Preventing incidents before they occur will help to avoid accidents, reduce maintenance and repair costs, and reduce claims. AI-enabled real-time detection and incident reporting can help you minimize your risk of injury, liability, as well as processing costs. Driver Behavior Alerts can coach your entire fleet in real time. Nauto Manager-Led Coaching is a program that helps drivers prioritize their safety and guides them through the coaching process. Fleet collisions can be reduced by reducing distracted and drowsy driver behavior. Features that protect driver privacy and allow for transparency between fleet drivers and managers will encourage adoption.

Hivemind is our AI pilot. It will allow swarms to operate autonomously, without GPS, communication, or a human pilot. Our mission is to provide intelligent systems that protect service members and civilians. More than preset behaviors and waypoints. Hivemind is a human-like pilot that reads the battlefield and reacts accordingly. It does not rely on GPS, waypoints or prior knowledge in order to make decisions. It is the only fully autonomous AI pilot to be deployed in combat since 2018. Hivemind™, from indoor building clearance using quadcopters, to integrated air defence breach with fixed-winged drones, to F-16 dogfights – it learns and executes missions autonomously. Hivemind will fly a new generation of aircraft to provide persistent aerial control across land, sea, and air.

iZND GPS Server, a web-based GPS tracking platform, is used by many businesses, including transportation companies, police and fire department, utility companies, service organisations, and other businesses that employ mobile workers all over the world. iZND GPS Tracking Server can scale from small installations to thousands, with multiple operators and vehicles. The platform supports hundreds upon hundreds of different tracking devices and a wide range of languages. Tracking partners and large companies can create separate tracking apps for different departments or customers from a single iZND Server installation. The platform allows you to track multiple vehicles via a web browser. You can see the entire fleet of vehicles in real time. The best vehicle can then be dispatched to a job. Specific vehicles can also be followed when necessary. The application instantly displays alerts and notifications.

NVIDIA Isaac is a platform for AI robot development that consists of NVIDIA CUDA libraries, application frameworks and AI models. It can be used to create AI robots such as autonomous mobile robots and robotic arms. The platform includes NVIDIA's Isaac ROS, a collection CUDA-accelerated computing models and packages built on the ROS 2 open source framework. It is designed to streamline the creation of advanced AI robotics apps. Isaac Manipulator is a platform built on Isaac ROS that allows the development of AI powered robotic arms capable of seamlessly understanding, interacting, and perceiving their environment. Isaac Perceptor enables rapid development of advanced AMRs that can operate in unstructured environments such as warehouses or factories. NVIDIA Isaac G00T is a platform that serves as a research and development initiative for general-purpose robot models and data pipelines.

Openpilot is an open-source software that improves upon the driver assistance system in all new cars. Tesla Autopilot functionality for your Toyota, Honda and other top brands. Openpilot is a camera-based driver monitoring system that works day and night to alert drivers when their eyes aren't on the road ahead.

NVIDIA Picasso, a cloud service that allows you to build generative AI-powered visual apps, is available. Software creators, service providers, and enterprises can run inference on models, train NVIDIA Edify foundation model models on proprietary data, and start from pre-trained models to create image, video, or 3D content from text prompts. The Picasso service is optimized for GPUs. It streamlines optimization, training, and inference on NVIDIA DGX Cloud. Developers and organizations can train NVIDIA Edify models using their own data, or use models pre-trained by our premier partners. Expert denoising network to create photorealistic 4K images The novel video denoiser and temporal layers generate high-fidelity videos with consistent temporality. A novel optimization framework to generate 3D objects and meshes of high-quality geometry. Cloud service to build and deploy generative AI-powered image and video applications.

CUDA®, a parallel computing model and platform developed by NVIDIA, is designed for general computing using graphical processing units. CUDA allows developers to accelerate computing applications using GPUs. In GPU-accelerated apps, the sequential workload is run on the CPU (which is optimized for single threaded performance), while the compute-intensive portion of the application is run on thousands of GPUs in parallel. CUDA allows developers to program in popular languages like C, C++ Fortran, Python, and MATLAB, and express parallelism using extensions. The CUDA toolkit from NVIDIA includes everything you need to create GPU-accelerated applications. The CUDA toolkit includes GPU-accelerated library, a compiler and development tools, as well as the CUDA Runtime.

There are options for every business to train deep and machine learning models efficiently. There are AI accelerators that can be used for any purpose, from low-cost inference to high performance training. It is easy to get started with a variety of services for development or deployment. Tensor Processing Units are ASICs that are custom-built to train and execute deep neural network. You can train and run more powerful, accurate models at a lower cost and with greater speed and scale. NVIDIA GPUs are available to assist with cost-effective inference and scale-up/scale-out training. Deep learning can be achieved by leveraging RAPID and Spark with GPUs. You can run GPU workloads on Google Cloud, which offers industry-leading storage, networking and data analytics technologies. Compute Engine allows you to access CPU platforms when you create a VM instance. Compute Engine provides a variety of Intel and AMD processors to support your VMs.

NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.

NVIDIA®, Parabricks®, is the only GPU accelerated suite of genomic analysis apps that delivers fast, accurate analysis of exomes and genomes for sequencing centres, clinical teams and high-throughput instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians--enabling significantly faster runtimes, workflow scalability, and lower compute costs. NVIDIA Parabricks can accelerate runtimes in a variety of hardware configurations, from FastQ to Variant Call format (VCF). This is done with NVIDIA Tensor Core GPUs. Genomic researchers will experience acceleration at every step of their analysis workflows - from alignment to sorting and variant calling. The compute time can be accelerated up to 107X when more GPUs are added.

Cloud GPU Service provides GPU computing power and high-performance parallel computing. It is a powerful tool for the IaaS layer that delivers high computing power to deep learning training, scientific computation, graphics and image processors, video encoding/decoding, and other intensive workloads. Improve your business efficiency with high-performance parallel processing. Install your deployment environment quickly using preinstalled driver and GPU images, CUDA and cuDNN, and auto-installed GPU and CUDA drivers. TACO Kit is a computing acceleration engine that Tencent Cloud provides to accelerate distributed training and inference.

ThirdAI (pronunciation is /TH@rdi/ Third eye), is an Artificial Intelligence startup that specializes in scalable and sustainable AI. ThirdAI accelerator develops hash-based processing algorithms to train and infer with neural networks. This technology is the result of 10 years' worth of innovation in deep learning mathematics. Our algorithmic innovation has shown that Commodity x86 CPUs can be made 15x faster than the most powerful NVIDIA GPUs to train large neural networks. This demonstration has reaffirmed the belief that GPUs are superior to CPUs when it comes to training neural networks. Our innovation will not only benefit AI training currently by switching to cheaper CPUs but also allow for the "unlocking” of AI training workloads on GPUs previously not possible.

NVIDIA NeMo megatron is an end to-end framework that can be used to train and deploy LLMs with billions or trillions of parameters. NVIDIA NeMo Megatron is part of the NVIDIAAI platform and offers an efficient, cost-effective, and cost-effective containerized approach to building and deploying LLMs. It is designed for enterprise application development and builds upon the most advanced technologies of NVIDIA research. It provides an end-to–end workflow for automated distributed processing, training large-scale customized GPT-3 and T5 models, and deploying models to infer at scale. The validation of converged recipes that allow for training and inference is a key to unlocking the power and potential of LLMs. The hyperparameter tool makes it easy to customize models. It automatically searches for optimal hyperparameter configurations, performance, and training/inference for any given distributed GPU cluster configuration.

NVIDIA®, Holoscan, is a domain-agnostic AI-based computing platform. It provides the accelerated full-stack architecture required for real-time, scalable, and software-defined processing of streaming data at the edge, or in the cloud. Holoscan supports a serial camera interface and front-end sensor for video capture, ultrasonic research, data collection, and connection with legacy medical devices. The NVIDIA SDK's tool for measuring data transfer latency can be used to measure the end-to-end complete latency of video processing applications. AI reference pipelines are available for streaming video applications such as radar, high energy light sources, endoscopy and ultrasound. NVIDIA Holoscan contains optimized libraries for network connectivity and data processing as well as AI. It also includes examples to create and run data-streaming low-latency applications using C++, Python or Graph Composer.

NVIDIA NIM's microservices allow you to deploy AI agents anywhere, while allowing you to explore the latest AI models. NVIDIA NIM provides a set easy-to-use microservices for inference that allows the deployment of foundational models across any data center or cloud, while ensuring data security. NVIDIA AI also provides access to the Deep Learning Institute, which offers technical training for AI, data science and accelerated computing. AI models produce responses and outputs that are based on complex machine learning algorithms. These responses or outputs can be inaccurate, harmful or indecent. By testing this model you accept all risk for any harm caused by the model's output or response. Please do not upload confidential or personal information unless explicitly permitted. Your use is recorded for security reasons.

NVIDIA®, Iray®, is an intuitive, physically-based rendering technology that produces photorealistic imagery for interactive or batch rendering workflows. Iray uses AI denoising, CUDA®, NVIDIA OptiX™, and Material Definition Language to generate stunning visuals. It can be paired with the latest NVIDIA RTX™-based hardware. The latest version of Iray adds support for RTX, which includes dedicated ray-tracing-acceleration hardware support (RT Cores) and an advanced acceleration structure to enable real-time ray tracing in your graphics applications. All render modes in the 2019 Iray SDK use NVIDIA's RTX technology. This, combined with AI denoising allows you to create photorealistic renderings in seconds rather than minutes. Tensor Cores, the latest NVIDIA hardware, brings deep learning to final-frame as well as interactive photorealistic renderings.

The SenseAuto intelligent auto application platform allows our partners to seize new business opportunities, adopt cutting-edge AI technologies, and ride the wave of intelligent cars. It consists of five parts: SenseAuto Cabin (SenseAuto Pilot), SenseAuto RoboX (SenseAuto Connect), and SenseAuto Empower.

NVIDIA Jetson is a leading platform for embedded AI computing. It's used by professional developers for creating breakthrough AI products in various industries as well as students and enthusiasts to learn AI and create innovative projects. The platform consists of small, power-efficient modules and developer kits that offer a comprehensive AI stack for high-performance accelerating. This allows the deployment of generative AI on the edge and supports applications such as NVIDIA Metropolis or the Isaac platform. The Jetson family offers a variety of modules that are tailored to meet different performance and power needs, including the Jetson Nano and Jetson TX2. Other modules include the Jetson Xavier NX and Jetson Orin. Each module is designed for specific AI computing needs, from entry level projects to advanced robotics or industrial applications.

You can quickly provision a VM with everything you need for your deep learning project on Google Cloud. Deep Learning VM Image makes it simple and quick to create a VM image containing all the most popular AI frameworks for a Google Compute Engine instance. Compute Engine instances can be launched pre-installed in TensorFlow and PyTorch. Cloud GPU and Cloud TPU support can be easily added. Deep Learning VM Image supports all the most popular and current machine learning frameworks like TensorFlow, PyTorch, and more. Deep Learning VM Images can be used to accelerate model training and deployment. They are optimized with the most recent NVIDIA®, CUDA-X AI drivers and libraries, and the Intel®, Math Kernel Library. All the necessary frameworks, libraries and drivers are pre-installed, tested and approved for compatibility. Deep Learning VM Image provides seamless notebook experience with integrated JupyterLab support.

Generative AI has a profound impact on virtually every industry. It opens up new opportunities for creative workers and knowledge to solve the world's most pressing problems. NVIDIA is empowering generative AI with a powerful suite of cloud services, pretrained foundation models, cutting-edge frameworks and optimized inference engines. NVIDIA AI Foundations is an array of cloud services that enable customization across use cases in areas like text (NVIDIA NeMo™, NVIDIA Picasso), or biology (NVIDIA BIONeMo™. Enjoy the full potential of NeMo, Picasso and BioNeMo cloud-based services powered by NVIDIA DGX™ Cloud, an AI supercomputer. Marketing copy, storyline creation and global translation in many different languages. News, email, meeting minutes and information synthesis.

NVIDIA Blueprints provide reference workflows to support agentic and generative AI. Blueprints and NVIDIA AI, Omniverse libraries, SDKs and microservices allow enterprises to build and operationalize custom AI apps, creating data driven AI flywheels. Blueprints include partner microservices as well as reference code, customization documentation and a Helm Chart for deployment. NVIDIA Blueprints offers developers a unified experience that spans the NVIDIA stack from cloud and datacenters to NVIDIA AI PCs and Workstations. NVIDIA Blueprints can be used to create AI agents capable of solving complex problems using sophisticated reasoning and iterative planing. NVIDIA Blueprints provide millions of enterprise developers reference workflows to build and deploy generative AI applications. Connect AI applications with enterprise data by using embedding and ranking models that are industry-leading for information retrieval.